Simran Tawar
Data Engineer | Real-Time & Batch Data Pipelines | AWS, Azure, Kafka, Spark, Snowflake, Databricks | Scalable ETL • Streaming • ESG & Financial Analytics | dbt • Airflow • Power BI • ML-Driven Insights
- Role
- Data Engineer at Bloomberg
- Location
- Syracuse, NY, US
- LinkedIn followers
- 500 followers
About Simran Tawar
Results-driven Data Engineer with 5+ years of experience designing and optimizing scalable data pipelines, real-time streaming solutions, and cloud-based architectures across finance and investment domains. Proven expertise in tools like Apache Kafka, Spark, Airflow, Snowflake, and AWS/Azure ecosystems. Skilled in building automated ETL workflows, BI dashboards, and version-controlled data lakes to enhance data accuracy, reduce latency, and support strategic decision-making. Strong programming background in Python, SQL, and data modeling, with hands-on experience in both batch and real-time analytics.
Experience
Data Engineer
Jul 2024 — Present · US
Engineered a real-time data ingestion pipeline using Apache Kafka, AWS Glue, and Spark Structured Streaming, reducing data processing latency by 40%.Migrated 1+ TB of historical financial tick data from on-prem Hadoop clusters to Snowflake via AWS S3, improving query runtime by 20% and reducing infrastructure cost overhead.Built 5+ DAGs in Apache Airflow to automate ETL workflows using for compliance reports, leading to a 20% drop in daily job failures.Implemented version-controlled Delta Lake on AWS S3 with ACID transactions and time-travel features, integrating seamlessly into the data lake to enable 24-month rollback, improve audit traceability, for trade data.Modularized 50+ SQL transformations across 10+ datasets into reusable dbt models, improving code maintainability and reducing duplication in analytics workflows.
Education
Syracuse University College of Engineering and Computer Science
Master of Science - MS
2022 — 2024
University of Mumbai
Bachelor of Engineering - BE
2015 — 2019
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