Rajeev

Data Engineer

Infosys • Período integral

Sep 2021 - Jan 2026 • 4 yrs 4 mos

Developed and maintained 100+ SQL/PL-SQL stored procedures, functions, triggers, views, and reusable database components, powering enterprise reporting and analytical systems. • Designed and customized 30+ Jasper Reports and XML-based analytical reporting screens aligned to business requirements, improving reporting turnaround and accuracy. • Optimized critical SQL queries using advanced techniques—join restructuring, index tuning, and execution plan analysis—resulting in measurable performance improvements across reporting workloads. • Automated operational validation, monitoring checks, and reporting workflows using Linux shell scripting and Python, reducing manual effort by an estimated 40%. • Engineered end-to-end ETL pipelines using Azure Data Factory (ADF) and Azure Databricks, enabling efficient data ingestion, transformation, and loading across cloud and on-premises sources. • Leveraged PySpark on Azure Databricks for large-scale data transformation tasks, processing multi-millionrow datasets to meet enterprise data processing SLAs. • Integrated Azure Blob Storage and ADLS into cloud data workflows, managing data lake storage and retrieval for downstream ETL and analytics pipelines. • Monitored and maintained ETL scheduling, triggering, and pipeline execution across production environments, ensuring high availability and reliability of data workflows. • Collaborated on enhancement-focused development spanning reporting systems, ETL pipelines, cloud integrations, and analytical workflows.