Sagar Samrat
Sr Aws Data Engineer @Ergon Inc.
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WORK HISTORY
Sr Aws Data Engineer @Ergon Inc.
Flowood, MS, US
Collaborated with Business Analysts and SMEs to gather requirements and translate them into actionable data solutionsPartnered with ETL teams to ensure high-quality, up-to-date data in Hive and enterprise data warehousesBuilt end-to-end data pipelines using AWS EC2, S3, Redshift, Hive, and Snowflake for analytics and reportingPerformed large-scale data processing and optimization using PySpark, Spark SQL, Hadoop, and PostgreSQLConducted statistical analysis and feature engineering on time-series stock data (moving averages, RSI, volatility metrics)Developed and optimized predictive models (Ridge, Lasso, polynomial regression) to forecast trade volumesImproved model performance through feature selection and transformation techniquesDelivered analytics and predictive insights using Python and Tableau dashboardsDeployed and containerized applications using Docker (Swarm/Wave) and OpenShiftDeveloped Snowflake stored procedures, views, and MERGE (UPSERT) logic for ETL workflowsWorked in Agile/Scrum environments with Git for version control and team collaboration
EDUCATION
Cleveland State University
Masters, Computer Science
GITAM Deemed University
Bachelor's degree, Computer Science
ABOUT SAGAR SAMRAT
Experienced Data Engineer around 7 years of expertise in building scalable data pipelines, real-time ETL/ELT solutions, and cloud-based infrastructure using AWS, GCP, and Snowflake.• Specialized in big data processing using PySpark, Spark SQL, and Scala, handling large volumes of structured and unstructured data for analytics and reporting.• Proficient in orchestrating ETL workflows with Apache Airflow, AWS Glue, and Snowpipe, ensuring efficient and reliable data ingestion across platforms.• Hands-on experience with AWS (S3, Glue, Lambda, Redshift, CloudWatch) and GCP (BigQuery, Dataproc, Dataplex) for cloud-based data solutions.• Expert in Snowflake data modeling, SQL optimization, and materialized views to support high-performance analytics and BI dashboards.• Developed and automated CI/CD pipelines using Jenkins, Docker, and Terraform, streamlining deployment and infrastructure management.• Implemented real-time monitoring and alerting systems using AWS CloudWatch, reducing ETL downtime and ensuring SLA adherence.• Built interactive dashboards using Power BI, integrating data from Snowflake and other cloud sources to deliver business insights.• Strong focus on data governance and quality, leveraging tools like Collibra and Dataplex to maintain high data integrity standards.• Migrated on-premise data ecosystems to cloud platforms, ensuring smooth transition with robust validation checks and automated workflows.• Skilled in developing UDFs in Python and Scala, custom utilities, and REST API integrations to enrich datasets and support analytics.• Proven ability to translate business requirements into scalable data architecture and collaborate with cross-functional teams to deliver data-driven solutions.• Experienced in working with graph databases (Neo4j) and managing security tools and workflows within enterprise data platforms.• Built ML model POCs and analytics use cases such as churn prediction and network performance insights using Python and cloud ML tools.• Strong communication and documentation skills with a demonstrated ability to mentor team members and present technical solutions to business stakeholders.
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