Harshal Shinde

- ETL Optimization & Performance Enhancement: Engineered and optimized SQL-based ETL pipelines for large-scale datasets, achieving a 30% reduction in data processing latency. - Workflow Orchestration & Automation: Orchestrated end-to-end data ingestion and transformation workflows leveraging Apache Airflow, dbt, BigQuery, and Dataflow, ensuring seamless and scalable data operations. - Analytical Data Modeling: Designed and implemented high-performance analytical data models in BigQuery, enhancing BI query efficiency by 25% and enabling faster decision-making. - Data Quality & Governance: Instituted comprehensive rule-based data validation and quality checks, mitigating data discrepancies and minimizing reprocessing overhead.

- ETL Architecture & Automation: Architected scalable ETL pipelines, streamlining data workflows & reduced manual intervention by 40%. - SQL Performance Tuning & Optimization: Optimized SQL queries and implemented indexing strategies, enhancing data access and query performance by 20%. - CI/CD Deployment & Pipeline Efficiency: Deployed automated CI/CD pipelines, accelerating deployment cycles by 50% and ensuring seamless data delivery. - Data Security & Reliability: Established secure and resilient data processing pipelines, guaranteeing reliability for client analytics workloads.

- ETL Workflow Automation: Streamlined ETL workflows leveraging Python and SQL, mitigating manual errors by 90% and enhancing operational efficiency. - Data Transformation & Analytics Enablement: Developed robust data cleaning, transformation, and reporting scripts to support diverse analytics use cases and drive actionable insights. - Production Issue Resolution & Pipeline Reliability: Diagnosed and resolved 150+ production data incidents, improving overall pipeline reliability by 15%.

Departmental Rank 53rd