Open to opportunities

Sai Venkat Raparthi

@saivenkatraparthi

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Experienced Data Engineer skilled in building scalable data architectures.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data engineering skills to drive impactful solutions and contribute to a forward-thinking team.

I am an experienced Data Engineer with over 3 years of expertise in designing, building, and optimizing data architectures and pipelines. My journey has been marked by a strong focus on creating scalable, secure, and compliant data environments that empower organizations to make informed decisions. I have a proven track record of collaborating with cross-functional teams to deliver reliable data solutions that drive operational excellence.

At KPMG, I played a pivotal role in implementing a Financial Data Lake for a major regional banking client, significantly improving data retrieval times and ensuring compliance with regulatory standards. My technical skills include proficiency in AWS, Python, Apache Airflow, and Snowflake, which I have leveraged to automate workflows and enhance data processing efficiency. I am passionate about utilizing data to solve complex business challenges and continuously seek opportunities to innovate and improve data governance.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

KPMG

Jan 2025 - Present (6 months)

Worked on Financial Data Lake Implementation for a large regional banking client. Designed and applied scalable data lake architecture on AWS S3, ensuring data security and compliance with SOX and PCI DSS standards.

AWS S3 AWS Glue Apache Airflow Python SQL Data Governance ETL Data Cataloging Regulatory Compliance

Data Engineer

DXC Technologies

Jul 2024 - Dec 2024 (5 months)

Built a GenAI-powered analytics platform for finance and supply chain, enabling predictive insights and automation. Automated 20+ data pipelines with Airflow and Step Functions, achieving 35% deployment speed improvement.

Apache Airflow AWS Step Functions fastAPI Tableau Amazon Quicksight Data Pipelines Predictive Analytics

Data Engineer

VMware

Jan 2021 - Dec 2022 (1 year 11 months)

Migrated large-scale data workloads from Hadoop to AWS using PySpark, Delta Lake, and Snowflake. Improved ETL pipeline runtime from over six hours to forty-five minutes using Spark optimizations and dynamic auto-scaling configurations on Databricks.

Hadoop AWS Pyspark Delta Lake Snowflake Databricks Apache Airflow Data Governance RBAC

Data Engineer

Trigent

Jul 2020 - Dec 2020 (5 months)

Automated Power BI dashboards using AWS Glue, enabling real-time reporting and reducing business intelligence turnaround time. Tuned SQL queries and optimized ETL jobs, cutting pipeline latency by 40%.

Power BI AWS Glue SQL ETL Data Optimization Data Analytics Business Intelligence

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master of Science, Computer Science

Pursued a Master of Science in Computer Science, focusing on advanced topics and research within the field. Developed a strong foundation in complex computer science principles and applications.

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

Bachelor of Technology, Computer Science

Completed a Bachelor of Technology in Computer Science, gaining foundational knowledge in various aspects of computing. Engaged in coursework and projects that built a strong understanding of software development and system design.