Data Engineer Processing

UMA SHANKARI TAMALAMPUDI

+1-404-***-**** ****************@*****.*** linkedin.com/in/umatamalampudi GitHub.com Data Engineer with 3+ years of experience designing and optimizing data workflows and pipelines. Skilled in Python, SQL, Apache- Spark and AWS, with expertise in ETL processes and data modeling. Enhanced predictive maintenance accuracy by 20% and reduced data processing times by 45%, driving a 30% boost in operational efficiency. Awarded a Bronze Medal for leading a high-impact cloud migration project, streamlining systems and enabling scalability. EDUCATION

Georgia State University, J. Mack Robinson College of Business Atlanta, GA Master of Science in Information Systems (Big Data Analytics) December 2024 Jawaharlal Nehru Technological University Andhra Pradesh, India Bachelor of Technology in Computer Science and Engineering August 2021 SKILLS

Languages and Databases: Python, R, MySQL, PostgreSQL, Oracle, MongoDB.

Tools and Technologies: AWS S3, AWS Glue, RDS, Apache Airflow, Apache Hadoop, PySpark, Kafka.

Competencies: Tableau, Docker, Kubernetes, Helm, Terraform, Ansible, Jenkins, TeamCity, Git, ELK Stack. PROFESSIONAL EXPERIENCE

Georgia State University Atlanta, GA

Data Engineer August 2023-December 2024

Built back-end services for a faculty research portal using Flask and PostgreSQL, enhancing query efficiency by 35%.

Developed a Random Forest model with TensorFlow to analyze academic data and drive research insights.

Designed intuitive dashboards for research metrics using Tableau, enhancing data visualization, and aiding decision-making.

Automated testing procedures with Selenium, reducing manual testing efforts by 30%. Atos Syntel PvtLtd Chennai, India

Data Engineer September 2021 - August 2023

Designed ETL pipelines using AWS Glue to process vehicle telemetry and diagnostic data from Stellantis, improved data availability for predictive maintenance by 20%, and accelerated production planning.

Optimized Spark jobs with partitioning and bucketing, reducing data processing time by 45%, which cut processing time for large datasets by 25 minutes, improving downstream analytics performance and system efficiency.

Cleaned and stored structured data in AWS RDS and Amazon Redshift, reducing SQL query execution times by 30% to support real-time insights for stakeholders.

Built scalable data workflows on AWS EMR and orchestrated them using Apache Airflow, processing 500,000 records per batch, ensuring timely business-critical operations, and enhancing SLA adherence.

Migrated legacy ETL jobs to Spark-based pipelines, increasing scalability and boosting data throughput by 25%, enabling seamless integration with modern distributed systems. Tiara Tech Solutions Eluru, India

Data Intern July 2019-March 2020

Preprocessed patient health data from Omni Hospitals using Pandas and NumPy, ensuring accuracy for clinical analysis

Developed ML models to predict hospital readmission rates for specific diseases using Random Forest and Linear Regression.

Implemented real-time monitoring with Grafana and Prometheus, reducing downtime by 30%. ACADEMIC PROJECTS

Image Captioning System Python, Pandas, TensorFlow, CNN, LSTM GitHub October 2023-December 2023

Developed an image captioning system using deep learning techniques, achieving a 35% improvement in BLEU scores compared to baseline models, enabling accurate and context-aware caption generation for diverse image datasets. Reinforcement learning based stock trading system Matplotlib, Seaborn, Q-learning GitHub March 2024 – May 2024

Developed a Q-learning model to optimize stock trading, increasing ROI by 15% and reducing portfolio volatility by 20%

Streamlined data pipeline using Alpha Vantage and Yahoo Finance, reducing data latency by 30% and improving real-time trading efficiency.

EHRServer - Clinical Data Management Platform Python, MySQL, REST API GitHub August 2023 – October 2023

Built an open-source clinical data platform with ETL pipelines, REST APIs, RBAC, and CI/CD automation, improving data ingestion by 40%.

CERTIFICATIONS&ACHIEVEMENTS

Microsoft AZ-900

AWS Cloud Foundation

AWS Machine learning

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