SSIS Table Split to Excel

@axiomswb

Dynamic SSIS table splitting package... I see you need a reusable, parameter-driven ETL workflow to slice your SQL Server 2019 table into five distinct Excel workbooks. As a senior data integration developer, I build robust SSIS packages that are easy to deploy and maintain. Here is my exact execution plan for your .dtsx package: The Data Flow Engine: I will configure an OLE DB Source for your T-SQL table and pipe it into a Conditional Split transformation to accurately route the rows into five separate streams based on your exact logic. Dynamic Excel Connections: Instead of hardcoding paths, I will map the Excel Connection Managers to SSIS Variables and Expressions, allowing you to easily adjust output directories via parameters without opening Visual Studio. The Handoff: You will receive the clean .dtsx package alongside a short, step-by-step screencast showing you exactly how to update the Conditional Split logic and how to map it to a SQL Server Agent Job for automated scheduling. I am available to build and test this immediately. Quick question: For the row-split logic, do you want to route rows based on specific column values (like a Category/Region ID), or strictly by row-count chunks (e.g., rows 1-5000, 5001-10000)?

@usmanbashir12100

Hi, I can build a reusable SSIS (.dtsx) package that exports your SQL Server 2019 table into five separate Excel workbooks based on the row-splitting logic you define. The package will include parameterized SQL Server and Excel connection managers, making file paths and export rules easy to modify without redesigning the package. You'll receive a ready-to-deploy solution, documentation explaining how to adjust the split logic, and guidance for scheduling it through SQL Server Agent. I'll ensure the exports are Excel 2016-compatible and that each row appears in only one workbook with no overlap. Best regards, Muhammad

@ShafirR

Hello! Your project caught my attention because SSIS package development and data export automation are areas I've worked on extensively for over 10 years. I’m a Senior SQL Server DBA & ETL Developer with strong experience in SQL Server 2019, SSIS, Excel exports, and production data integration workflows. I can build a reusable SSIS package that: • Reads data from your SQL Server table • Splits rows into 5 groups based on the business rule we define • Exports each group to a separate Excel 2016-compatible .xlsx file • Creates all 5 workbooks in a single execution • Uses configurable parameters for file paths and naming • Is ready for SQL Agent scheduling Deliverables: • Fully functional .dtsx package • Configured SQL Server and Excel connection managers • Parameterized file paths for easy maintenance • Documentation showing how to modify the split logic • Instructions for deployment and SQL Agent scheduling What separates me from many SSIS developers is that I focus on building packages that are easy to maintain and reuse, not just packages that work once. I've built numerous SSIS solutions involving data splitting, ETL automation, Excel exports, scheduled jobs, and high-volume data processing. I can start immediately and deliver a clean, production-ready SSIS package that meets your testing requirements. Kind Regards, Shafir Senior SQL Server DBA & ETL Developer Top Rated Freelancer (Top 3%)

@kamran2012

Hey, I will build a reusable SSIS package that splits your SQL Server table into five .xlsx workbooks — using a Conditional Split transform driven by row-based rules, with parameterized connection managers for dynamic file paths. I will configure each Excel destination with an OLEDB ACE provider to ensure Excel 2016 compatibility, and include a brief walkthrough doc covering the split logic edits and SQL Agent scheduling. Questions: 1) What determines which rows go to which file — ID ranges, modulo grouping, or another rule? 2) Roughly how many rows total in the source table? This bid is an initial estimate — I will confirm the final cost and timeline once we have walked through the complete requirements together. Looking forward to discussing further. Best regards, Kamran

@dfordesigners

Hi, I specialize in SSIS development and have successfully created similar packages. I can build a reusable SSIS package in SQL Server Data Tools that precisely splits your SQL Server table into five separate Excel workbooks based on row criteria. I will configure dynamic connections for easy file path adjustments and provide documentation for editing the splitting logic. Let's ensure a seamless transition with a quick call to align on technical details. Looking forward to working on this project with you. Thank you.

@intelliresponse

Please find my latest project review.❤️ I carefully reviewed your requirements and understand you need a reusable SSIS package that exports one SQL Server 2019 table into five separate Excel `.xlsx` workbooks based strictly on row-level split logic. ⚙️ I have experience with SSIS, SQL Server, SSDT/Visual Studio, Excel connection managers, dynamic package parameters, SQL Agent scheduling, and ETL workflows. ✅ I can deliver: • Ready-to-deploy `.dtsx` package • SQL Server source connection and five Excel outputs • Row-based split logic using agreed rules such as ID groups, ranges, or conditions • Dynamic file path parameters/expressions • Excel 2016-compatible workbook output • No overlap validation between files • Brief documentation or screencast for editing logic and scheduling in SQL Agent ? My focus will be a clean, reusable SSIS workflow that runs in one execution and produces the five correct workbooks reliably. Best regards, Steven

@emilesd617

Hi, I am a SQL Server and ETL developer with 8 years of rich experience. I am familiar with SSIS, SQL Server, Excel, ETL, and Data Integration. For this project, the most important part is creating a reusable SSIS package that splits rows correctly with no overlap or missing data. I can build the `.dtsx` package, configure dynamic SQL and Excel connection managers, export five Excel workbooks in one run, and provide clear notes on editing the split logic and scheduling it in SQL Agent. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@AliSafder

Hi, My name is Ali and I am a software engineer and database specialist with extensive experience designing automated ETL workflows in SQL Server Integration Services (SSIS) and SQL Server 2019. I will build a highly efficient, reusable `.dtsx` package that pulls your T-SQL data and smoothly splits it into five separate, 2016-compatible `.xlsx` workbooks based strictly on your row-count or ID logic. I will configure your Excel and OLE DB Connection Managers using dynamic expressions and package parameters, allowing you to update file paths and folder destinations easily without opening Visual Studio. To make it completely seamless, I'll use a Conditional Split transformation to partition the rows instantly with zero data overlap and include brief documentation detailing exactly how to schedule the package via SQL Server Agent. Let's connect so we can define the exact row-based rule for your split, and I will deliver a clean, deploy-ready SSIS package for your environment right away.

@toriquldev123

Dear Client, Hello dear! I’m Md Toriqul Islam, and I’m excited to partner with you & I can dive into your project immediately. I’m a software developer with 10+ years of experience in SQL Server, SSIS, ETL processes, and database automation. I understand you need a reusable SSIS package that exports data from a single SQL Server 2019 table into five separate Excel 2016-compatible workbooks based on row-splitting logic, with configurable file paths and deployment-ready documentation. I have rich experience in SQL Server, SSIS, T-SQL, ETL development, Excel integration, and SQL Agent scheduling. I’m ready to start immediately and would be happy to discuss the row-splitting rules. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@Jairo51019

https://www.freelancer.com/projects/software-development/Parser-for-SQL-Migrations With my extensive background in C# programming and Microsoft Excel, I am confident in my ability to deliver a ready-to-deploy SSIS package that precisely meets your project requirements. Having previously worked on similar tasks, I understand the intricacies and complexities involved in mapping data from SQL Server to Excel workbooks with absolute accuracy. Additionally, my familiarity with SQL Server 2019 ensures optimal use of this platform for your project. To provide you with a convenient and adaptable solution, I will configure connection managers for both SQL Server and Excel utilizing dynamic expressions or parameters. This will empower you to easily adjust file paths, schedule package runs on SQL Agent and manage row-splitting, thus maximizing the reusability of the package. Best Regards

@RadoslavPompura

Hi, I can build the SSIS package you need in SSDT/Visual Studio. I’ll set up one SQL Server source and split the table rows into five separate Excel 2016-compatible .xlsx files in a single run, with no overlap between outputs. I’ll also use parameters or expressions for file paths so you can reuse the package easily. I can document where the row-splitting logic is managed and how to schedule it in SQL Agent.

@jvy7802

Hi, This is Jorge from IT GLOBAL SOLUTION LLC, based in FL, United States. I’ve done ETL/SSIS export projects similar to yours—splitting one SQL Server table into multiple Excel outputs with strict row-based partitioning. Your concept is clear and testable: no overlap and 5 Excel 2016-compatible files from one run. My approach: deliver a reusable SSIS package (.dtsx) built in SQL Server Data Tools. In Control Flow, I’ll keep a single task flow that reads from the SQL Server 2019 table via an OLE DB Source. For each row, I’ll compute a deterministic “target workbook” using a stable row-based rule you choose (row_number over a stable ORDER BY, ID bucketing, or explicit ID ranges). In the Data Flow, I’ll route rows to five Excel destinations using a Conditional Split (no reshaping by columns), then write each stream to its own .xlsx file using an Excel Destination configured for Excel 2016. Connection managers will use parameters for folder paths and filenames. I’ll add guardrails to guarantee no-overlap by deriving workbook assignment from one consistent ordering/window expression. For the split logic, if you prefer SQL-driven logic I’ll implement it in a parameterized source query; if you prefer SSIS-side logic I can encapsulate it in a Script Component (C#) so only one section needs editing. I’ll provide clean, maintainable, Git-friendly SSIS code plus brief documentation. Happy to share relevant work and align on the best structure. Let’s connect. Best, Jorge

@Georgeoustar

Hi, This is a straightforward SSIS automation project, and the key is making the package reusable and easy to maintain rather than hardcoding the export logic. I can build a clean SSIS package in SSDT/Visual Studio that reads from your SQL Server 2019 table, applies the row-splitting rules, and exports the data into five separate Excel 2016-compatible .xlsx workbooks in a single execution. I have experience with SSIS, SQL Server, ETL workflows, dynamic connection managers, package parameters, and SQL Agent scheduling. The package will include configurable file paths, clearly documented row-routing logic, and validation to ensure no duplicate or missing rows across outputs. I'll also provide concise documentation or a short walkthrough showing how to modify the split criteria and deploy/schedule the package in your environment. Best regards, George

@carlosd178

Hello, As a result of a detailed review of your project requirements, I fully understand the scope and expectations. I have experience handling similar types of projects and I'm available to start your project right now. I bring deep expertise in SSIS, SQL Server, T-SQL, Excel, ETL, Data Integration, C#, and Database Management with over 10 years of experience. I can build a reusable .dtsx package in SSDT/Visual Studio that reads from your SQL Server 2019 table, applies agreed row-based split rules, and exports five separate Excel 2016-compatible .xlsx workbooks in one run. I will use parameters/expressions for file paths and connection settings, with clear logic so you can adjust the split rule later without rebuilding the whole flow. I have a couple of quick questions. • Should the five files be split by row number ranges, ID ranges, or a specific business rule from one column? • Do all five workbooks need the same worksheet name and header structure? I would be glad to discuss further details and am ready to start immediately. Looking forward to hearing from you. Best regards, Carlos.

@CorranForce

Hello! Allen from Fort Worth here. Separating your SQL Server 2019 dataset into five distinct Excel workbooks in one SSIS run is an elegant data challenge that requires a robust, parameter-driven design. To achieve this, I will design an SSIS package using SSDT. We will use a Data Flow Task with a Conditional Split transformation to distribute rows, dynamically driving Excel Connection Managers via package parameters to ensure flexible target paths and easy SQL Agent scheduling. Optimizing buffer configurations guarantees that your ETL flow executes with a minimal memory footprint and no table locks. Keeping configurations fully dynamic is the best way to ensure long-term package maintainability. Q1: What specific row-splitting logic governs this distribution, and do these boundaries shift dynamically? Is there a sequential key range we should utilize, or will it rely on modulo partitioning? Q2: Since concurrent writes to multiple Excel files can cause ACE OLEDB driver locking, should we sequence execution in the Control Flow? Or would you prefer a script task approach to safely manage file streams? Q3: Will this run on a 64-bit SQL Agent engine, which requires configuring runtime properties to target 32-bit execution for Excel compatibility? Or is your environment already configured with the 64-bit version of the Access Database Engine? I look forward to collaborating with you on this project. Best regards.

@smzaman01

Hello, I can build a reusable SSIS package in SQL Server Data Tools to export your SQL Server 2019 table into five separate Excel workbooks based on agreed row-splitting logic. I will configure dynamic SQL and Excel connection managers, avoid row overlap, and provide clear documentation showing how to adjust paths, modify split rules, and schedule the package through SQL Agent. Thank you.

@SkillCrafts

I can deliver a robust SSIS solution to split your SQL Server table into five distinct Excel workbooks, mirroring the row-based segmentation you require. My approach is similar to projects where I've dynamically generated multiple output files based on data-driven conditions, ensuring each workbook receives its precise set of rows. My plan involves using a combination of SSIS Data Flow Tasks with Script Components and potentially a ForEach Loop Container. I'll leverage SQL queries to determine row ranges or group IDs for each of the five output files. Within the Data Flow, a Script Component will handle the dynamic file naming and row routing to the appropriate Excel Destination. Error handling and logging will be incorporated for a production-ready package. To ensure the optimal splitting logic, could you clarify the primary criteria for segmenting the data into these five groups? Once we confirm this, I can provide a more precise timeline and cost. I'm available to discuss this further at your convenience.

@osamak74

Hi, this is right in my lane. I’ve worked on SQL Server based automation and database-heavy workflows where the main goal is getting clean, repeatable outputs with as little manual work as possible. For this, I’d build the SSIS package so it splits the rows in a controlled way, exports each slice to its own Excel workbook, and keeps the file paths easy to update through parameters or expressions. I’d also make sure the package is simple to maintain in Visual Studio/SSDT, so if you want to adjust the row-splitting logic later, it’s not a headache. I’m comfortable working with Microsoft SQL Server, C# Programming, and Database Management, and I usually focus on making these kinds of jobs reliable on the first run, then easy to schedule in SQL Agent after that. I can include short notes or a quick walkthrough showing where to change the split logic and how to deploy it. If you’d like, I can get started with the package structure right away. Osama

@mayr81

SSIS Package for SQL Server → 5 Excel Exports I will build a reusable SSIS package that extracts data from your SQL Server table and exports it into five separate Excel files in a single run. The logic will split rows based on your defined rule (ID ranges, row groups, or custom conditions), ensuring each workbook receives only its assigned data with no overlap. The package will be built in SQL Server Data Tools / Visual Studio and configured with dynamic parameters so you can easily change file paths or adjust the split logic without rebuilding the package. I will also include clean connection managers for SQL Server and Excel, plus a simple guide showing how to modify logic and schedule it in SQL Server Agent. In short, you will get a reliable ETL solution that automatically splits and exports your data into five structured Excel workbooks.