
Results-driven System Engineer at Infosys with expertise in Java development and data integration. Successfully built scalable applications and optimized analytics workflows using Snowflake architecture. Proven ability to collaborate effectively in Agile teams, enhancing code maintainability and reducing bug resolution time by 20%. Passionate about leveraging technology to drive impactful solutions. Systems Engineer focused on supporting large-scale software systems.
Retail Sales Analytics with Databricks & Snowflake:
Built Spark pipelines in Databricks Notebooks; standardized CSV inputs, validated schema, and enforced DQ rules., Implemented Delta Lake (MERGE for upserts, schema evolution) for incremental loads., Published curated tables to Snowflake for Tableau; reduced dashboard refresh time by 40%., Documented workflow architecture for reproducibility and onboarding of new team members.
Healthcare Data Lakehouse on Databricks:
Designed ingestion → bronze/silver/gold using PySpark for CSV/JSON; added PII-safe column-level control., Used Z-ORDER and OPTIMIZE on Delta to improve scan efficiency; exposed Databricks SQL views for analysts., Leveraged Snowflake Time Travel to preserve historical states for auditing and rollback., Integrated data validation rules to ensure consistency across all processed datasets.
Financial Transactions ETL & Analytics:
Orchestrated multi-source ingestion in Databricks; deduped with window functions and key hashing., Landed aggregates in Snowflake marts for anomaly/fraud scoring; tuned warehouses and micro-partitions., Reduced processing time 25% via partitioning, caching, and predicate pushdown., Created reusable SQL scripts to streamline report generation and improve team productivity.