Samatha Reddy Burri
Lewisville,US
Summary
Results-driven Software Developer with hands-on experience in Python, FastAPI, AWS, and Data Engineering. Proven track record of designing and optimizing API-driven, cloud-native, and big-data pipelines that enhance performance, scalability, and data quality. Strong cross-functional collaboration and deep understanding of DevOps, CI/CD, and data infrastructure.
Overview
4
4
years of professional experience
3
3
Certification
Work History
Software Developer
Fidelity Investments
02.2023 - Current
- Engineered and deployed secure, scalable REST APIs using Python (FastAPI), improving data accessibility and reducing response latency by 35%.
- Automated AWS infrastructure provisioning using CloudFormation, IAM, and S3 lifecycle policies, increasing deployment efficiency by 40%.
- Optimized Kubernetes workloads and implemented autoscaling, cutting resource costs by 25% while maintaining high availability.
- Enhanced CI/CD pipelines across Git, Bitbucket, and Jenkins, reducing deployment time from hours to minutes.
- Integrated monitoring solutions with SonarQube and Datadog, improving code quality metrics and reducing incidents by 20%.
- Built Power BI dashboards leveraging API and SQL outputs to enable data-driven reporting for cross-team stakeholders.
- Developed and tested ETL logic using Apache Zeppelin and Hadoop, performing SQL transformations and ensuring end-to-end data validation.
- Automated database schema changes using Liquibase and Oracle DB, minimizing manual intervention and deployment errors.
- Migrated data quality workflows to Ataccama ONE, improving DQ automation and validation accuracy.
- Collaborated with cross-functional teams to gather requirements and define project scope.
Software Developer
Vanguard
02.2022 - 02.2023
- Developed and maintained high-volume ETL pipelines with AWS Glue, EMR, S3, and Athena, increasing data throughput by 30%.
- Modeled and optimized data warehouse schemas (Star/Snowflake), enhancing query performance and maintainability.
- Built serverless data pipelines using Glue Catalog, PySpark, and boto3, reducing operational overhead.
- Leveraged Apache Iceberg for large-scale ingestion and partitioned data storage, improving retrieval efficiency by 40%.
- Implemented CI/CD pipelines with Bitbucket, Jenkins, and Bamboo, achieving consistent release automation.
- Collaborated with data analysts and business partners to design solutions meeting complex analytical and regulatory requirements.
Education
Master of Science -
University of Toledo
Toledo, OH08-2021
Certification
AWS Certified Data Analytics - Specialty
Azure Data Engineer Associate
Ataccama ONE v15 | DQG Consumer Certification
Technical Skills
Languages/Frameworks: Python, SQL,PL/SQL, R, FastAPI, PySpark, Scala
Cloud/Data: AWS (Glue, EMR, IAM, S3, CloudFormation, KMS, Athena, Crawler, Lambda, VPC, EC2, SSO), Azure Data Services, Snowflake
Big Data/ETL: Hadoop, Apache Zeppelin, Apache Iceberg, Informatica, Ataccama ONE
DevOps/Tools: Git, Bitbucket, GitHub, Jenkins, Bamboo, Liquibase, SonarQube, Datadog, ServiceNow, Control-M
Databases: Oracle, PostgreSQL, SQL Server
Messaging/Infra: Kafka, JMS, Kubernetes, Docker
Visualization: PowerBI
Timeline
Software Developer
Fidelity Investments
02.2023 - Current
Software Developer
Vanguard
02.2022 - 02.2023
Master of Science -
University of Toledo