Suparsav
Summary
Data Engineer & Technical Lead with 4 years of multi-cloud experience architecting scalable ETL/ELT pipelines across Azure, AWS, and Google Cloud. Proven track record of reducing data processing latency by 35% and optimizing cloud costs by $18k/year. Expert in Snowflake, DBT, and Advanced SQL, with deep proficiency in Matillion and Python for building fault-tolerant data infrastructure. Certified SnowPro Core, Azure Data Engineer Associate (DP-203), and AWS Cloud Practitioner, committed to delivering high-performance, real-time data solutions for enterprise-scale environments.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Engineer
DataPlatr Inc.
Hyderabad
04.2025 - Current
- Sunrun/Posigen (Energy Domain) Leading U.S. residential solar providers
- Architected TB-scale pipelines on GCP and Snowflake, optimizing 50+ DBT models and Airflow DAGs to significantly cut cloud compute costs.
- Automated data ingestion from solar APIs (SolarEdge, Enphase) using Python, standardizing disparate JSON sources into a unified warehouse for fleet monitoring.
- Designed real-time Sigma dashboards by integrating Salesforce and Databricks, providing stakeholders with unified, actionable fleet insights.
- Orchestrated legacy-to-cloud migrations using Informatica, successfully modernizing on-premises ETL workflows and infrastructure.
- Developed complex solar metric calculations and managed Jira workflows.
- Leading U.S. residential solar providers
Data Engineer
Agileway Inc.
California
04.2022 - 04.2025
- Architected end-to-end pipelines on Azure (Synapse, ADLS Gen2), creating scalable Snowflake and DBT models that boosted operational efficiency by 25%.
- Implemented robust CI/CD workflows using Azure DevOps, automating the testing and deployment of DBT models for seamless production delivery.
- Engineered a data quality framework with Great Expectations and custom DBT tests, validating integrity post-load to catch anomalies early.
- Analyzed and refactored legacy ETL processes, identifying critical performance bottlenecks and implementing tuning solutions that reduced processing time by 35%.
- Collaborated with Purpose Financial to build and maintain data pipelines using Snowflake and DBT Cloud, contributing to the automation of critical financial reporting processes.
- Implemented ETL workflows using AWS services (Glue, Lambda, S3), handling data ingestion and transformation tasks to ensure accurate and timely data delivery.
Education
Post Graduate Programme - Data Science & ML
Accredian
01.2022
Bachelor of Engineering (B.Tech/BE) -
Chitkara University
Hyderabad, Telangana08.2018
Skills
- SQL
- Snowflake
- DBT (Core, Cloud)
- BigQuery, Python
- Apache Airflow
- Informatica (IICS/Cloud Data Integration) , Matillion
- AWS: S3, Glue, Lambda
- Azure: Data Factory (ADF), Synapse , ADLS Gen2
- GCP: BigQuery
- DBT tests (Great Expectations)
- Delta Lake / Apache Iceberg
- CI/CD (Azure DevOps Pipelines, GitHub Actions)
Certification
- Snowflake SnowPro Core
- DBT Fundamentals
- AWS CLF-C02 Cloud Practitioner
- Azure Data Engineer DP-203
- Matillion Associate
Languages
- English
- German
- Hindi
Timeline
Data Engineer
DataPlatr Inc.
04.2025 - Current
Data Engineer
Agileway Inc.
04.2022 - 04.2025
Post Graduate Programme - Data Science & ML
Accredian
Bachelor of Engineering (B.Tech/BE) -
Chitkara University