Azure Data Engineer with AKS Experience Required

@sahilcomputers39

Hi, With 16+ years of experience in cloud engineering, DevOps, and Azure-based data platforms, I can support your team as an Azure Data Engineer with strong AKS experience, delivering scalable and production-ready data solutions. I have hands-on expertise with: • Azure Data Lake Storage (ADLS) for secure and scalable storage • Azure Data Factory (ADF) for ETL pipelines, ingestion, and orchestration • Azure Databricks for large-scale processing and advanced analytics • Azure Synapse Analytics for warehousing, SQL analytics, and reporting • AKS (Azure Kubernetes Service) for containerized workloads, deployments, scaling, and monitoring • Strong SQL optimization and Python scripting for transformation and automation • Git-based workflows and DevOps practices for reliable deployments For this role, I can help design and implement end-to-end data workflows, optimize ETL performance, and ensure reliable production execution through AKS-based deployments and automation. I’m comfortable working in an hourly model, collaborating with stakeholders, and providing regular progress updates. We can finalize the budget depending on the complexity of the project and workload scope. Best regards, SaD

@Appworldz

Hello, Azure Data Engineer | Microsoft Certified | 10+ yrs I’ve spent the last decade designing and running end‑to‑end Azure data platforms using ADLS, ADF, Databricks, Synapse and AKS for scalable, production-grade workloads. I can set up robust ETL pipelines, build performant warehousing models, and containerize data services on AKS with proper DevOps, monitoring, and Git-based CI/CD. Happy to start by reviewing your current architecture, clarify how you’re using AKS today, and then propose a cost‑efficient, secure design aligned to your business KPIs. Regards Sahanaj

@danielboggs

Hi there, I’ve read your Azure + AKS brief and I’m confident I can design and maintain the end-to-end data platform you need. I’ve built scalable Azure solutions using ADLS, ADF pipelines, Databricks notebooks, and Synapse workspaces, and I’ve deployed containerized data processing components to AKS for orchestration and resilient workloads. Technically, I’ll model clean, maintainable data schemas, implement robust ETL in ADF with Python/Databricks transforms, optimize SQL for Synapse, and containerize any microservices or Spark jobs for AKS. I follow Git-based CI/CD and DevOps patterns to keep releases predictable and auditable, and I’ll provide regular updates so stakeholders stay informed. Next step: I can review your current architecture and propose a phased implementation plan and initial pipeline design. Can you share the current data sources, estimated daily data volume, and whether you already have AKS clusters or preferred networking/security constraints? Thanks, Daniel

@ashinnd84

Hello there, we are a team of capable developers and we can do this project in no time. Please, send me the project complete details to start the work. Thanks Ashish Kumar.

@mobasherreza10

Hi there, I noticed you need a highly skilled Azure Data Engineer to design, develop, and maintain robust data solutions on Azure, with strong experience in ADLS, ADF, Databricks, Synapse, and essential hands on experience with AKS, plus SQL, Python, ETL, data modeling, Git, and DevOps. I have extensive experience as an Azure Data Engineer, including a recent project where I built an end to end data pipeline using ADF for ingestion, Databricks for transformation, and Synapse for serving, with the compute layer containerized on AKS for scaling and orchestration. I am comfortable with Git and DevOps practices, and I can provide regular updates and collaborate with cross functional teams. Let me know the data volume and expected concurrency for the AKS deployment. Best regards, Mobasher Reza

@azwa04

Hi, I can easily DO your work IN 24 HOURS, DM me now to get started, PRICE NEGOTIABLE 100% Work satisfaction is provided

@cybexsoftadmin

Azure Data Engineer | ADF | ADLS | Databricks | Synapse | AKS | Python | SQL | DevOps Hi, I have 15+ years of DevOps/data engineering experience, building end-to-end Azure data platforms with a strong focus on scalability, performance, and clean architecture. I can design and implement full data pipelines using ADF (ingestion/orchestration), ADLS (storage), Databricks (processing), and Synapse (analytics/serving). I also bring hands-on AKS experience for containerized workloads and data services where needed. I’ve worked on ETL pipelines, data modeling, and performance tuning (SQL/Python), ensuring reliable data flow and optimized query performance. I follow clean DevOps practices (Git, CI/CD) and keep everything well-documented for team collaboration. Quick questions: 1- Data volume/scale? 2- Batch vs real-time requirements? 3- Existing AKS usage or new setup? Available to start and collaborate closely with your team. Rahul

@mahamnoornaz06

Hello sir, I can design and deliver scalable Azure data solutions with strong hands-on expertise across ADLS, ADF, Synapse, Databricks, and AKS. With 5+ years in data engineering, I’ve built end-to-end ETL pipelines, optimized SQL performance, and deployed containerized workloads on AKS with reliable CI/CD practices. I focus on clean architecture, efficient data modeling, and maintainable Python-based processing aligned with business goals. Budget is flexible and friendly. Let me know: What is your primary data source and volume? Do you already have an AKS setup or need full deployment? If I am lucky enough to capture your attention, please don't hesitate to contact me. We can engage in a 10-15 minute discussion via messages to delve deeper into the project requirements and cover all aspects.

@WiredAI

Dear Client, I have strong experience building end-to-end data solutions on Azure, including ADLS, ADF, Databricks, Synapse, and hands-on work with AKS for scalable deployments. I can design and implement robust ETL pipelines, optimize SQL performance, and build containerized data workflows using Python and Kubernetes—ensuring reliability and scalability across your platform. I follow clean architecture, Git-based workflows, and collaborate closely with teams for smooth delivery. Let’s connect to discuss your data architecture and requirements. Best regards, wiredAI Venture.

@emmanuelv0826

Hi, I’m an Azure Data Engineer with hands-on experience across ADF, ADLS, Databricks, Synapse, SQL, Python, and AKS for production-grade data pipelines and scalable platform deployments. I can help design, build, and maintain your end-to-end Azure data solution while collaborating closely with your team on delivery and optimization. Question: Is AKS mainly being used to run data workloads, APIs, or orchestration services in your environment?

@olehk7

I specialize in data analysis and predictive modeling using Python, helping businesses turn raw data into meaningful insights and informed decisions. What I Can Do: - Clean and prepare raw datasets (e.g., missing values, outliers, feature engineering) - Perform exploratory data analysis (e.g., trends, correlations) - Build machine learning models (e.g., classification, regression, forecasting) - Create clear visualizations and analytical reports - Explain results in business-friendly terms What I Need From You: - Dataset access or sample data - Business objective or key questions - Expected output format (e.g., report, notebook, dashboard) Estimated Revenue: Flexible — depends on project scope and complexity. Let’s turn your data into actionable insights. Best Regards, Oleh

@fabians73

Hi, I’ve carefully reviewed your requirements for an Azure Data Engineer with hands-on experience in AKS. With my background in designing and developing end-to-end data solutions on Azure, I have deep familiarity with ADLS, ADF, Databricks, Synapse Analytics, and strong skills in SQL and Python scripting. I understand the critical role of Kubernetes in managing scalable containerized workloads and will ensure AKS integration is robust and efficient. I approach this by building clean, maintainable data pipelines and leveraging Azure services to optimize ETL processes and data warehousing. My experience with version control and DevOps practices will support seamless collaboration and deployment. I’m confident in communicating clearly with team members to deliver timely project updates. Let’s discuss your timeline and priorities to align the development roadmap effectively. Which Azure Data Engineering component or workflow should be prioritized initially for this project? Best regards, Fabian

@novalitztech

Hi, I see that you're looking for a skilled Azure Data Engineer who can design and maintain effective data solutions on the Azure platform, with a focus on Azure Kubernetes Service (AKS). My approach would involve leveraging my extensive experience with Azure Data Lake Storage, Data Factory, and Databricks to create scalable ETL processes and data pipelines that meet your needs. In past projects, I have successfully developed end-to-end data solutions that not only improved data accessibility but also enhanced performance through efficient SQL querying. My hands-on experience with AKS allows me to integrate containerization effectively, ensuring that your data solutions are both robust and flexible. I prioritize clear communication and collaboration with stakeholders to keep everyone updated on project progress. You can expect well-optimized and maintainable solutions tailored to your requirements. Best regards, Novalitz Tech

@rosmarflores

With proficiency in Python and Microsoft Azure services like Data Lake Storage (ADLS), Data Factory (ADF), Databricks, and Synapse Analytics, I have the necessary foundation for this task. Implementing end-to-end data solutions and leveraging my expertise with ETL processes, data modeling, and warehousing concepts will allow me to create scalable, performant structures for your data. Moreover, my hands-on experience with Azure Kubernetes Service (AKS) impeccably aligns with your requirement. Whether it is employing AKS for containerization of the application or optimizing deployments, I am equipped for the challenge. Additionally, my grasp of version control systems like Git will ensure seamless collaborations with your cross-functional teams. Completing projects within proposed timelines is imperative to me. My strategic perspective developed from completing intricate projects in multiple time zones around the world will prove beneficial here. Together we can not only achieve your current task with utmost efficiency but also build a long-lasting partnership that enables your vision to flourish across numerous future projects.

@AHMEDALI008

❇️ Hi, I see you’re looking for a specialized Azure Data Engineer who can bridge high-scale data warehousing (ADF, Synapse, Databricks) with modern containerized orchestration via AKS. I specialize in building robust, Python-driven ETL pipelines that leverage the full power of the Azure ecosystem. ➡️ What I’ll deliver ✅ Scalable Data Pipelines: End-to-end ETL/ELT architecture using Azure Data Factory and Synapse Analytics. ✅ Advanced Analytics: High-performance data processing using Azure Databricks and Spark. ✅ AKS Integration: Deploying and managing data-related microservices and containerized workloads on Kubernetes. ✅ Optimized SQL & Python: Clean, high-efficiency scripting for data modeling and warehousing. ✅ DevOps Alignment: Version-controlled workflows using Git and automated deployment practices. ➡️ Next steps I can walk you through how I’ve integrated AKS into full-stack data projects and review your current Synapse/Databricks setup. Shall we connect to discuss your specific data modeling requirements?

@zakriyam2

Deliverables: • Design and implement scalable data solutions on Azure platform • Develop ETL processes using Azure Data Factory for data ingestion and transformation • Create data processing solutions using Azure Synapse Analytics • Utilize Azure Databricks for advanced analytics and large dataset processing • Provide regular project updates and collaborate with stakeholders • Deliver optimized database performance through efficient SQL querying

@OBRY8246

Hello, I am excited to apply for the Azure Data Engineer position. With proven experience in designing, developing, and maintaining robust data solutions on the Azure platform, I am well-equipped to meet your needs. I have extensive proficiency in Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, ensuring optimal data processing and analytics capabilities. My hands-on experience with Azure Kubernetes Service (AKS) allows me to create scalable, efficient solutions tailored to your requirements. I excel in SQL programming and Python scripting, enabling seamless data ingestion, transformation, and advanced analytics. I am committed to delivering optimized database performance through efficient SQL querying and actively collaborating with cross-functional teams to provide regular updates and insights. What specific challenges do you foresee in your current data engineering environment? Looking forward to discussing how I can contribute to your project.

@alirashdi26

Hey , I just finished reading the job description and I see you are looking for someone experienced in Azure, Microsoft SQL Server, ETL, Apache Hadoop, Data Engineer, Data Analysis, Apache Spark, MongoDB, Amazon Web Services and Python. This is something I can do. Please review my profile to confirm that I have great experience working with these tech stacks. While I have few questions: 1. These are all the requirements? If not, Please share more detailed requirements. 2. Do you currently have anything done for the job or it has to be done from scratch? 3. What is the timeline to get this done? Why Choose Me? Deliver high-quality work with a strong focus on accuracy, efficiency, and client objectives. Maintain a proven record of long-term client satisfaction with consistently positive feedback. Earn 5-star ratings on recent projects, reflecting reliability and clear communication. Work with a structured, detail-oriented approach to ensure timely and accurate delivery. Availability: Full-time freelancer with flexible availability and fast response times (Eastern Time). I will share with you my recent work in the private chat due to privacy concerns! Please start the chat to discuss it further. Regards, Ali

@SonnyDube

I am a perfect fit for your project, given your need for expert design and development of scalable data solutions on Azure, including critical use of Azure Kubernetes Service for containerization. I will ensure clean implementation and seamless functionality for ETL processes, data transformation, and advanced analytics with Azure Data Factory, Synapse Analytics, and Databricks. While I am new to Freelancer, I have strong experience and have delivered similar solutions outside the platform, including working extensively with SQL, Python, and DevOps tools in Azure environments. I offer a free consultation to better understand your project and provide the best technical approach. I would love to chat more about your project! Regards, Sonny Dube