Data Engineer - ETL, Azure, Big Data,API, CI/CD & AI Systems

Sri Vishnu Gopinathan

832-***-**** ***********@*****.*** LinkedIn Google Scholar

Data Engineer with 4+ years of experience in data engineering, machine learning, microservices and workflow automation across different domains and industries. I have developed a solid understanding of building production grade ETL pipelines, cleaning and transforming large scale datasets, developing and deploying ML models end to end, and delivering analytics solutions that drive real business decisions. Skills

Languages & Libraries: Python, SQL, PySpark, Java, DAX, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Prophet, XGBoost, Flask, SQLAlchemy, PyMongo, Seaborn, Plotly, Matplotlib, REST APIs, Microservices. Cloud & DevOps: Azure ML, Azure Databricks, Azure Data Lake, Azure Kubernetes Service, Azure DevOps, Monitor, AWS RDS, Docker, Kubernetes, Helm, CI/CD Pipelines, GitHub, Jenkins, Azure AI Search, Azure OpenAI, MLFlow. Data Engineering & BI: Talend, SSIS, SQL Server Agent, Apache Kafka, Power BI, Power Query, Tableau, Pega, RAG. Databases: SQL Server, MySQL, MongoDB, Oracle, Microsoft Access Work Experience

Formosa Plastics Corporation

Data Engineer

Jan 2024 - Present

Point Comfort, TX

• Assisted in data migration process from legacy systems to AWS RDS through scheduled ingestion pipelines, automated data validation checks and schema mapping.

• Built and automated end to end ETL pipelines reducing manual data transfer effort by 90% and improving pipeline throughput through query optimization and incremental loads.

• Built REST APIs for security applications following a microservices architecture to increase architectural reliability and security.

• Coordinated deployment of containerized applications managed through Kubernetes using DevOps CI/CD pipelines to reduce application dependency on host systems.

• Designed an AI chatbot using Azure AI Search and Azure Open AI services with a RAG architecture, using MLFlow to track experiments and model versioning, reducing internal document search time by 80% for inspection, maintenance, and workflow procedures.

• Designed Power BI dashboards to track asset utilization, operational performance, and support budget planning decisions. Navy Federal Credit Union

Summer Associate (Data Scientist)

Jun 2023 - Aug 2023

Vienna, VA

• Built Kafka based streaming data pipelines for ingesting high volume event streams such as transactional and operational logs into Azure Data Lake for downstream analytics.

• Built data processing jobs on Databricks for transformation and cleaning of large customer datasets.

• Performed big data analysis of member-level attributes using PySpark to identify key indicators that highly correlate with delinquency in credit card payments and assign members into risk tiers based on the analysis.

• Worked on a hybrid forecasting solution combining Prophet with LSTM models in PyTorch to predict monthly Credit Card Collections returns, contributing to model tuning and evaluation.

• Built Power BI dashboards combining streaming and batch data sources to deliver risk metrics, delinquency indicators, and customer segmentation insights to collections and risk management teams. University of Houston - Victoria

Research Assistant

Aug 2022 - Dec 2023

Victoria, TX

• Collaborated on research analyzing user behavior patterns using web data from Yelp and other review platforms, performing data cleaning and exploratory analysis to improve user journey in web applications.

• Worked on collection and preparation of datasets related to student demographic and academic data for predictive analytics, and stored sensitive data securely in MongoDB collections with proper encryption.

• Performed data wrangling and analysis to determine feature importance between surveyed data and student pass rate, followed by data preprocessing and scaling.

• Built and performed hyperparameter tuning on a feedforward neural network for regression analysis to predict student pass rate, helping academic advisors focus more attention on students with lower scores.

• Exposed the model through a REST API for real time inference and built an application as the user interface, supporting model training, validation, and inference.

Tata Consultancy Services (TCS)

Software Engineer

Oct 2020 - Jul 2022

Bengaluru, India

• Contributed to backend automation and UI enhancement for an e-commerce platform (SWIFT) by implementing Business Process Management solutions using Pega and following Agile/Scrum methodologies.

• Integrated with external systems using Connect SQL, Connect SOAP, and Service SOAP, and configured Agents, Connectors, Declarative Rules, and Decision Rules to map external data into application workflows.

• Configured Access Roles, Access Groups, and Portals for user access management, and built UI components including Sections, Harnesses, and Flow Actions for a clean, web-based interface. Used GitHub for version control across all code. Education

University of Houston, Victoria, TX — Masters in Computer Science, GPA 4.0 Dec 2023 Anna University, India — B.E. Electronics and Communication Engineering, GPA 3.92 March 2020 Publications: PatchMSNet: A Multi-Scale Transformer-CNN Hybrid Network for Satellite Image Classification (IEEE ICIR 2025); Efficient Multi-Class Analysis of Consumer Complaints Using Frozen MiniLM Embeddings (IJACSA 2025); FGAN-AD-U: Unsupervised Multi-Scale Graph-Transformer Reconstruction for Industrial Anomaly Detection (ICAART 2026); A Survey of Student Counseling Systems (AMCIS 2023).

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