Area(s) of responsibility

Key Responsibilities

Azure Synapse & Data Engineering

- Design, develop, and optimize solutions using Azure Synapse Analytics.

- Build and maintain data integration solutions using Azure Data Factory (ADF) and Synapse Pipelines.

- Design and implement scalable Data Lake architectures (ADLS Gen2).

- Develop high-performance ETL/ELT frameworks for enterprise data platforms.

- Monitor and troubleshoot large-scale data ingestion, transformation, and processing workloads.

- Identify performance bottlenecks and implement optimization strategies across data movement and transformation processes.

- Ensure data quality, availability, and reliability across analytics ecosystems.



These responsibilities align with internally referenced practices around data warehousing, ETL optimization, data lakes, and Synapse performance tuning. [25543668-c...(phone hidden) | Word]

SQL & Data Warehouse Performance

- Perform advanced SQL query analysis and optimization.

- Analyze and optimize execution plans for complex analytical workloads.

- Configure and tune Synapse Dedicated SQL Pools.

- Design and implement effective partitioning strategies for large datasets.

- Optimize indexing, statistics, and workload distribution.

📌 Subcontractor (Noida)
🏢 Birlasoft
📍 Noida