Saurabh Kedar

WORK HISTORY

EDUCATION

ABOUT SAURABH KEDAR

Hi, I’m Saurabh Kedar — a GCP Data Engineer with 4+ years of experience designing scalable, cost-effective data solutions for real-time and batch processing. I specialize in building end-to-end data pipelines that turn raw data into actionable insights, using modern tools like Dataflow, Pub/Sub, Snowpark, and Spark. Core Skills: • Cloud Platforms: GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer)| Snowflake (Snowpipe, Snowpark) • Big Data & ETL: Apache Spark (PySpark), Apache Beam | Batch & Real-time Pipelines • Orchestration: Airflow (Cloud Composer)| Workflow Automation • Optimization: Partitioning, Clustering, Cost Efficiency Key Achievements: • Built a serverless real-time analytics pipeline (Pub/Sub + Cloud Run) processing 1M+ daily events, loading into Snowflake via Snowpipe for near-instant insights. • Designed a retail data lake on GCP, improving BigQuery performance by 35% and cutting costs by 30% while handling 10M+ records daily. • Modernized on-premises systems to GCP Dataproc, boosting performance by 50%. • Optimized queries in BigQuery, reducing execution time by 40% and lowering cloud costs by 30%. What I Offer: I help organizations scale data infrastructure, reduce costs, and unlock real-time insights by leveraging my expertise in GCP, Snowflake, and big data technologies. Let’s connect and discuss how I can add value to your team with high-impact data solutions!