Sowmya Ravuri
Data Engineer | Python | SQL | ETL | Apache Spark | Databricks | AWS | Azure | Big Data |Airflow | Scalable Data Pipelines University of Central Missouri
- Role
- Data Engineer (Internship) at Accenture
- Location
- Overland Park, KS, US
- LinkedIn followers
- 500 followers
About Sowmya Ravuri
I am a Data Engineer with 3+ years of experience designing, building, and optimizing large-scale data pipelines, real-time streaming solutions, and cloud-native data platforms. My expertise spans across financial, healthcare, and enterprise domains, where I’ve delivered high-performance, secure, and cost-efficient analytics solutions. Skilled in Apache Spark, PySpark, Databricks, Airflow, Snowflake, and DBT for scalable ETL/ELT workflows Hands-on with AWS, Azure, and GCP ecosystems for cloud-based data engineering and warehouse modernization Strong background in data modeling, orchestration, and streaming frameworks (Kafka, Kinesis) Experienced in CI/CD automation, data governance, and compliance (HIPAA, GDPR, SOX)I enjoy solving complex data challenges, collaborating with cross-functional teams, and enabling data-driven decision-making. My recent work includes migrating enterprise data warehouses to cloud platforms, creating real-time analytics pipelines, and partnering with data science teams to operationalize ML models. My goal is to continue building scalable, secure, and future-ready data platforms that power insights and innovation.
Experience
Data Engineer (Internship)
Jan 2025 — Present · US
Designed and deployed end-to-end ETL pipelines using Apache Spark, Airflow, and DBT, automating ingestion from ERP, CRM, and IoT systems into Snowflake; reduced refresh cycles by 40% and accelerated reporting.Built scalable real-time streaming pipelines with Apache Kafka and AWS Kinesis, handling 200K+ messages/sec to support fraud detection and customer analytics.Led migration of on-prem Teradata & Oracle warehouses to Azure Synapse & Snowflake, reducing query latency by 35% and storage costs.Partnered with data scientists to build ML feature pipelines in Databricks, reducing retraining cycles by 20% and improving model accuracy.Established governance frameworks with Great Expectations, improving BI dashboard trust by 30%.Automated CI/CD pipelines for DBT and Spark jobs with Jenkins & GitHub Actions, cutting release effort by 50%.
Education
University of Central Missouri
Masters
2023 — 2025
Jawaharlal Nehru Technological University Kakinada (JNTUK)
Bachelors
2018 — 2022
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