Srinikhila Ventrapragada
Kirkland,WA
Summary
Results-oriented Data Engineer with 3.5 years of professional experience in designing, building, and optimizing data pipelines and systems across various industries. Proficient in implementing end-to-end data solutions to support business intelligence and advanced analytics. Strong expertise in ETL processes, cloud-based data platforms, and data modeling techniques. Skilled in collaborating with stakeholders to define actionable strategies and deliver robust data engineering solutions.
Overview
4
4
years of professional experience
Work History
Data Engineer II
LTI Mindtree
Hyderabad, Telangana
06.2021 - 12.2023
- Designed and deployed scalable data pipelines, processing 2TB of data daily to support business operations in financial and healthcare sectors
- Optimized ETL workflows, reducing data processing time by 25% and saving $50,000 annually in infrastructure costs
- Migrated 10+ legacy data systems to AWS and Google Cloud Platform, reducing maintenance costs by 30% and increasing data availability
- Created 50+ advanced data models, enhancing decision-making capabilities for analytics teams
- Developed a claims processing pipeline for healthcare clients, reducing claims resolution time by 35%
- Built a fraud detection framework for financial clients, improving fraud detection accuracy by 40%
- Led training sessions for 10 junior engineers, improving team productivity and knowledge sharing
- Improved operational decision-making by 40% through data pipeline enhancements
- Streamlined reporting workflows, reducing manual data processing tasks by 30%
Data Engineer
MetricStream
01.2020 - 01.2021
- Worked as part of the engineering team to build data pipelines and frameworks supporting MetricStream's Governance, Risk, and Compliance (GRC) platform
- Designed and maintained scalable data integration workflows, processing over 500GB of compliance and risk data daily
- Created a centralized data repository to enable seamless analysis and reporting of compliance metrics, reducing audit preparation time by 30%
- Developed ETL pipelines to automate ingestion and transformation of customer GRC data, improving data availability by 40%
- Built advanced dashboards providing actionable insights into key compliance metrics, enhancing organizational decision-making by 25%
- Partnered with product and risk teams to model and identify critical risk indicators, streamlining risk mitigation processes by 20%
- Implemented data governance policies to ensure regulatory compliance and maintain high data quality
- Enabled a 35% improvement in compliance data accuracy through robust data validation techniques
- Reduced operational costs by 20% by optimizing cloud-based data workflows
- Enhanced the efficiency of GRC reporting systems, reducing manual efforts by 40%
Education
Bachelor of Science - Computer Science
Jawaharlal Nehru Technological University
Hyderabad07-2021
Skills
- Programming Languages: Python, SQL, Java, Scala
- Data Platforms: AWS (S3, Redshift, Glue), Azure (Data Factory, Synapse)
- ETL Tools: Apache Airflow
- Database Technologies: PostgreSQL, MySQL, Snowflake, MongoDB
- Big Data Technologies: Hadoop, Spark, Kafka
- Visualization Tools: Tableau, Power BI, Looker
- Version Control: Git
- Other Tools: Docker, Kubernetes, Jenkins
Timeline
Data Engineer II
LTI Mindtree
06.2021 - 12.2023
Data Engineer
MetricStream
01.2020 - 01.2021
Bachelor of Science - Computer Science
Jawaharlal Nehru Technological University
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