Tribhuvan Chanda
Senior Data Engineer | 11+ YOE | Big Data, Cloud (AWS, Azure, GCP), Streaming, ML & AI | Scalable Data Architectures | Data Strategy Leader
- Role
- Senior Data Engineer Big Data Engineer at Somatus
- Location
- Harrison, NJ, US
- LinkedIn followers
- 500 followers
About Tribhuvan Chanda
Experienced Data Engineer with 4+ years of expertise in big data processing, ETL development, and cloud-based data solutions. Skilled in Databricks, Apache Spark, Hadoop, and AWS to design and optimize scalable data pipelines, improving processing time by 40% and data quality by 25%. Proficient in ETL tools (SSIS, Alteryx, AWS Glue) and databases (MongoDB, MySQL, Oracle), with a strong background in data modeling, integration, and governance. Experienced in collaborating with data scientists and analysts to transform complex datasets into actionable insights. Holds a Master’s in Data Science (NJIT) and certifications in AWS Cloud, Azure, Google Cloud, Python, and Data Science. Passionate about leveraging data-driven strategies to enhance decision-making and optimize business operations. Open to connecting and discussing opportunities in data engineering and analytics.
Experience
Senior Data Engineer Big Data Engineer
Jan 2022 — Present · McLean, VA, US
Optimized cloud-based data lakes and warehouses on AWS (S3, Redshift) and Azure (Data Factory, Synapse), managing petabytes of clinical and operational data with high scalability. Built ETL workflows to integrate data from various healthcare systems (EHR/EMR: Epic, Cerner, Allscripts) into centralized databases, enhancing reporting and analytics. Developed data models (star and snowflake schemas) to optimize query performance for large healthcare datasets, improving analytics efficiency. Improved data transformation using AWS Lambda and Azure Databricks, enabling real-time data processing to support timely decision-making. Reduced SQL query execution times by 40% through query tuning and Spark/Hive job optimizations, increasing processing speed for clinical analytics. Deployed end-to-end machine learning pipelines using PySpark, TensorFlow, and scikit-learn, predicting patient outcomes and supporting proactive healthcare interventions.
Education
New Jersey Institute of Technology
Master's degree, Data Science
Keshav Memorial Institute of Technology
Bachelor of Technology - BTech, Computer Science
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