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Data Engineer Solutions

Location:
Tampa, FL
Salary:
110000
Posted:
October 20, 2025

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Resume:

Sanjay Arepally

Tampa, FL +1-813-***-**** ******.********.****@*****.*** linkedin.com/SanjayArepally Professional Summary

Backend Developer and Data Engineer with 3+ years of experience designing and delivering scalable APIs, microservices, and data-driven applications using Node.js (Express) and Python (Flask/FastAPI). Skilled in PostgreSQL, MariaDB, and cloud-native architectures with vigorous testing and CI/CD practices. Known for building high-performance, maintainable systems with a focus on data integrity, automation, and clean coding standards. Passionate about reliability, problem- solving, and delivering production-ready backend systems in collaborative agile environments. Education

Master of Science in Data Science & Analytics Aug 2023 - May 2025 Indiana Wesleyan University - GPA: 3.8/4.0 Indianapolis, IN Bachelor of Technology in Computer Science & Engineering Aug 2018 - May 2022 Kakatiya Institute of Technology and Science, Warangal- GPA: 3.2/4.0 Hanamkonda, India Skills

• Programming & Frameworks: Node.js, Express.js, Python (Flask, FastAPI), JavaScript (ES6+), TypeScript, RESTful APIs

• Databases: PostgreSQL, MariaDB, MySQL, MongoDB, Redis, Schema Design, Query Optimization

• Testing & QA: Jest, Mocha, Chai, Jasmine, Pytest, Integration & Unit Testing, Code Coverage

• DevOps & CI/CD: Docker, GitHub Actions, Jenkins, GitLab CI, Containerization, Agile (Scrum)

• Data Engineering & Visualization: Superset, Power BI, Airflow, Data Modeling, ETL APIs

• Cloud Platforms: AWS (Lambda, S3, CloudWatch), Azure (Functions, Data Factory), GCP (Pub/Sub)

• Soft Skills: Communication, Collaboration, Ownership, Problem Solving, Accountability, Self-Motivation.

• Certifications:

AWS Certified Data Engineer – Associate Databricks Certified Data Engineer – Associate IBM Data Analyst Professional Certificate Post Graduate Certificate in Data Science Excel for Data Analysis and Visualization (Coursera) Experience

JP Morgan Chase & Co. Data Engineer – Backend Engineer Jan 2025- May 2025

• Developed REST APIs and microservices using Python (FastAPI) and Node.js, powering risk and compliance data pipelines.

• Designed PostgreSQL schemas, stored procedures, and query optimizations to support low-latency data retrieval for dashboards.

• Implemented unit and integration tests (Jest, Pytest), achieving >90% code coverage and reducing regression issues by 35%.

• Collaborated with DevOps to containerize services using Docker and integrated CI/CD pipelines in Jenkins for automated deployments.

• Partnered with analysts to develop secure, high-performance backend systems supporting 5+ cross-functional teams. PNC Bank, India Data Engineer – API Developer Aug 2021 – July 2023

• Built Python (Flask) services and ETL APIs connecting HR, finance, and compliance datasets stored in PostgreSQL and MariaDB.

• Designed and optimized data models using star/snowflake schemas, ensuring consistent reporting across teams.

• Developed test-driven data ingestion pipelines and implemented schema validation routines to ensure data accuracy.

• Collaborated with backend and analytics teams to automate ingestion workflows, reducing manual effort by 40%.

• Contributed to building internal dashboards using Superset and Power BI for real-time business insights. Tech Mahindra, India Software Engineer - Data Nov 2020 – July 2021

• Supported development of backend services using Node.js and Express, integrating APIs with SQL and Teradata systems.

• Wrote modular, reusable SQL queries and optimized stored procedures for reporting efficiency.

• Participated in code reviews, sprints, and unit testing to improve overall code reliability.

• Automated daily ETL validation tasks using Python scripts, improving team productivity by 25%. Additional Project: Real-Time Event Monitoring API Developed a FastAPI + PostgreSQL backend for processing and monitoring real-time events. Integrated Dockerized microservices for ingestion, validation, and alerting with CloudWatch logging and unit tests (Pytest, Jest) to ensure reliability. Delivered a modular, test- driven system that improved event visibility and reduced issue resolution time by 30%.



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