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Hi, I’m Sravya Chunduri, a data engineer passionate about turning complex data into actionable insights. I design scalable, reliable data pipelines across Hadoop, Spark, and cloud ecosystems, with a focus on performance and governance. I thrive in cross-functional teams and enjoy translating technical concepts into business impact. With 4+ years of hands-on experience in data ingestion, transformation, and real-time analytics, I deliver end-to-end solutions that empower stakeholders. I’m committed to maintaining data quality, security, and compliance (HIPAA/GDPR), while continuously improving efficiency and reducing costs through thoughtful architecture and automation.…Hi, I’m Sravya Chunduri, a data engineer passionate about turning complex data into actionable insights. I design scalable, reliable data pipelines across Hadoop, Spark, and cloud ecosystems, with a focus on performance and governance. I thrive in cross-functional teams and enjoy translating technical concepts into business impact. With 4+ years of hands-on experience in data ingestion, transformation, and real-time analytics, I deliver end-to-end solutions that empower stakeholders. I’m committed to maintaining data quality, security, and compliance (HIPAA/GDPR), while continuously improving efficiency and reducing costs through thoughtful architecture and automation.

Sravya Chunduri

Full Stack Developer, Back-End Developer, Web Developer, +2

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Hi, I’m Sravya Chunduri, a data engineer passionate about turning complex data into actionable insights. I design scalable, reliable data pipelines across Hadoop, Spark, and cloud ecosystems, with a focus on performance and governance. I thrive in cross-functional teams and enjoy translating technical concepts into business impact. With 4+ years of hands-on experience in data ingestion, transformation, and real-time analytics, I deliver end-to-end solutions that empower stakeholders. I’m committed to maintaining data quality, security, and compliance (HIPAA/GDPR), while continuously improving efficiency and reducing costs through thoughtful architecture and automation.…Hi, I’m Sravya Chunduri, a data engineer passionate about turning complex data into actionable insights. I design scalable, reliable data pipelines across Hadoop, Spark, and cloud ecosystems, with a focus on performance and governance. I thrive in cross-functional teams and enjoy translating technical concepts into business impact. With 4+ years of hands-on experience in data ingestion, transformation, and real-time analytics, I deliver end-to-end solutions that empower stakeholders. I’m committed to maintaining data quality, security, and compliance (HIPAA/GDPR), while continuously improving efficiency and reducing costs through thoughtful architecture and automation.

Available to hire

Hi, I’m Sravya Chunduri, a data engineer passionate about turning complex data into actionable insights. I design scalable, reliable data pipelines across Hadoop, Spark, and cloud ecosystems, with a focus on performance and governance. I thrive in cross-functional teams and enjoy translating technical concepts into business impact.

With 4+ years of hands-on experience in data ingestion, transformation, and real-time analytics, I deliver end-to-end solutions that empower stakeholders. I’m committed to maintaining data quality, security, and compliance (HIPAA/GDPR), while continuously improving efficiency and reducing costs through thoughtful architecture and automation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Blackhawk Network

February 1, 2023 - November 18, 2025

Designed and implemented ETL pipelines with PySpark and AWS Glue, processing 2–3 TB of structured and unstructured data daily and improving reporting speed and accuracy by 35%. Migrated legacy Hadoop workloads to AWS EMR/Redshift with Parquet formats, achieving 30% faster query performance. Built FastAPI-based APIs for audit and reporting data, improving data accessibility and reducing manual data requests by 50%. Implemented Airflow DAGs to orchestrate dependencies across Glue, Lambda, and Redshift workflows, reducing pipeline failures by 20%. Containerized ETL processes with Docker/Kubernetes for faster deployments, and optimized Spark transformations to cut processing time by 35%. Built Tableau dashboards for real-time ingestion metrics and operational insights for leadership.

Data Engineer at Wipro Limited

December 1, 2022 - December 1, 2022

Designed and developed data ingestion pipelines using Spark, Hive, and Sqoop, processing terabytes of transactional and IoT data. Implemented real-time streaming with Kafka, delivering near real-time analytics and dashboards. Optimized Hive tables through partitioning and bucketing, reducing query latency by 25%. Developed Python automation scripts for data validation, cleansing, and ETL monitoring, reducing manual QA efforts by 50%. Migrated on-prem Hadoop data to AWS S3 and Redshift, enabling cloud-native analytics. Established data quality, governance, and lineage rules to ensure regulatory compliance. Supported CI/CD pipelines with Jenkins and Bitbucket, automating ETL deployment and improving release velocity by 30%. Produced dashboards in Power BI and Tableau to monitor KPIs and operational metrics.