Promod Bariker

I’m a Data Engineer with 4+ years of experience designing scalable data solutions using Databricks and Azure Data Factory. I build robust data pipelines and ETL workflows that power advanced analytics and business intelligence.

I focus on performance and reliability—optimizing complex SQL scripts, improving query performance by 40%, boosting data accuracy by 25%, and increasing data output efficiency by 50%. I also enhance processing efficiency by 20% through end-to-end pipeline design and automated scheduling.

I ensure data quality and streamlined data warehousing operations, using metadata-driven architectures to simplify analytics and reporting. I work across Delta Lake, Parquet, Avro, JSON, and CSV, and I implement ingestion and ETL best practices to reduce processing time and improve system stability.

Across Infosys and EY GDS, I delivered measurable impact: reducing outstanding payments by 14%, cutting processing time by 45%, and streamlining 10GB+ weekly data workflows by 20%. At EY, I developed reusable, metadata-driven ETL with Azure Data Factory/Databricks and implemented SCD Type 1 and Type 2 in PySpark notebooks, improving job execution time by 30% while using Unity Catalog governance and DevOps CI/CD with Azure DevOps.