Big Data Analyst

@bhartimalu

Hello, I can assist with Apache Hadoop data analysis including data processing, ETL, and generating insights using tools like Hive and Spark. Ready to start immediately. Regards, Bharti

@vishala81

Hello, This is exactly the kind of in-cluster analysis Hadoop was built for. I’ve worked on large structured datasets in HDFS (Cloudera/CDP environments) where the requirement was to clean, aggregate, and derive insights without moving data out of the cluster. The key is designing efficient jobs that minimize shuffles and I/O while remaining easy to rerun. I can build a repeatable workflow using native Hadoop components — typically Hive (for fast aggregation and SQL-like transformations) combined with MapReduce where custom logic or performance tuning is needed. If appropriate, I may leverage Spark on YARN for specific steps, but the solution will remain fully Hadoop-centric and store results back in HDFS as requested. Deliverables will include production-ready jobs, well-commented code in Git, and a clear hand-off guide so your team can execute the pipeline independently. I focus on correctness, resource efficiency, and operational simplicity rather than unnecessary complexity. I can start immediately. Turnaround will depend on dataset size and required transformations, but I work quickly once schema and objectives are clarified. Best regards, Vishal

@Yafoor1996

Title: Big Data Analyst | Hadoop & Hive Workflow Automation "I am a Data specialist focused on building repeatable, documented data pipelines. I recently completed a project involving the normalization and auditing of a 100+ record dataset, where I used Python and Regex to transform raw, 'dirty' data into structured, decision-ready formats. For your HDFS transformation, I can provide: Hive/SQL Optimization: I will design Hive scripts to clean and aggregate your data directly within the cluster, ensuring no data egress is required. Documented Workflow: I will provide a clear README and commented code in Git so your team can re-run the jobs independently. Performance Focus: I prioritize clean, efficient logic over flashy visuals to ensure your Hadoop 3.x stack runs at peak performance. I am comfortable working within the Cloudera CDP environment and can ensure all deliverables stay centered on Hadoop. I estimate a turnaround time of [ 3-5 days] once I review the specific data schema."