Experience
Career Journey
Building reliable data pipelines that ship measurable outcomes.
Data Engineer — Technology Specialist
@ Infosys PuneJune 2025 – Present
- Developed and maintained Bronze, Silver, and Gold layer data pipelines using PySpark and Delta Lake.
- Implemented Dimension and Fact table transformations to support data warehousing and analytical reporting requirements.
- Worked with cloud storage solutions including Azure Data Lake Storage (ADLS Gen2) and Amazon S3 for data ingestion, storage, and processing.
- Designed, developed, and maintained end-to-end ETL/ELT CI/CD pipelines on Databricks to process and transform large-scale datasets; ensured 100% error-free pipeline execution to release schedules.
- Automated workflow orchestration through Databricks Jobs and Workflows, reducing manual intervention and operational overhead.
- Published and maintained Power BI and Tableau dashboards in Power BI Service Workspace on a monthly release cycle, improving reporting efficiency by ~30%.
- Improved operational excellence through proactive monitoring, alerting, and performance optimization initiatives.
- Conducted root cause analysis (RCA) for recurring issues and implemented permanent fixes to improve platform stability.
Data Analyst / Data Engineer — Domain Expert
@ Wipro Pvt. Ltd. PuneSeptember 2022 – May 2025
- Automated data extraction, transformation, and reporting workflows by integrating SQL with Python (Pandas, NumPy); developed scripts for scheduled pipeline execution and monitoring.
- Developed, tested, and maintained data pipelines and ETL processes across heterogeneous data systems on Databricks; validated schemas and reconciled records between source and target environments with zero data loss.
- Wrote complex SQL queries (MySQL, MSSQL), stored procedures, and database automation to streamline recurring operational data tasks.
- Analyzed large datasets using SQL and Databricks to generate actionable business insights.
- Applied Python (Pandas, NumPy) for large-scale data cleaning, transformation, aggregation, and filtering; integrated SQL with Python to build automated extraction and reporting workflows.
- Created visualization charts with Matplotlib and Seaborn to generate insights from the data.
- Performed incident troubleshooting, log analysis, and job recovery activities; maintained operational documentation, SOPs, and support runbooks.
- Coordinated with cross-functional teams on daily project status, progress documentation, and process improvement initiatives.