B V Nandhan

Data Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered enterprise-scale data pipelines at Visa.
Built scalable ETL solutions for major clients.
Developed full stack applications with modern frameworks.

Stackforce AI infers this person is a Data Engineer with expertise in Fintech and scalable data solutions.

Contact

Skills

Core Skills

Data EngineeringEtlFull Stack DevelopmentBackend DevelopmentSoftware Development

Other Skills

Apache SparkPythonSparkHadoopHiveSQLAzure Data FactoryDatabricksPower BIDockerAzureAPIsReact.jsPower AutomateBig Data Analytics

About

🚀 Data Engineer | Software Engineer | Building Scalable Applications & Data Solutions I'm a software developer and data engineer passionate about building automation tools, scalable APIs, and efficient data pipelines. With a strong foundation in Python, SQL, React.js, Node.js, and Azure, I bridge the gap between clean software architecture and robust data platforms. 📊 Data Engineering I’ve designed and optimized large-scale data workflows across multiple domains: - Automated complex ETL pipelines using Python, Pandas, Azure Data Factory, and Databricks - Built reusable pipeline components with PySpark and SQL - Created analytics workflows with Power BI and custom dashboards - Designed normalized, query-efficient databases and stored procedures. - Built scalable ETL pipelines using Azure Data Factory, Databricks, and PySpark to automate data ingestion and transformation from unstructured sources. 💻 Software Development I've built 10+ full stack projects and contributed to production-grade systems in my role. I specialize in: - Developing responsive React.js interfaces with clean UI/UX - Building secure, high-performance REST APIs using Node.js, Express.js, and FastAPI - Creating scalable, maintainable backend logic and database designs (MongoDB, PostgreSQL) - Deploying Dockerized apps with CI/CD pipelines (Azure Pipelines) 🔁 My strength lies in blending development and data — building backend systems that automate, scale, and inform. 📌 Tech Stack: Python, SQL, React.js, Node.js, Azure Data Factory, Databricks, FastAPI,PySpark, Docker, CI/CD, Power BI, Pandas, NumPy 👋 Always open to opportunities where I can contribute to impactful, backend-heavy products — let’s connect!

Experience

2 yrs 10 mos

Total Experience

2 yrs 3 mos

Average Tenure

7 mos

Current Experience

Visa

Data Engineer

Nov 2025 – Present · 7 mos · Bengaluru · Hybrid

Engineered and optimized enterprise-scale data pipelines processing terabytes of VisaNet transaction data daily and monthly using Spark ,Hadoop, Hive, and Python. Led end-to-end ETL workflows handling 100M+ daily records with robust audit reconciliation.
Architected production ETL pipelines processing 5TB+ monthly VisaNet transaction data with 99.9% accuracy.
Closely Work in Global Analytical Revenue Platform , Financial Data Lake , Global Revenue Data Platform of Visa .
Automated daily/monthly data workflows using Hive, Spark, and Shell scripting reducing manual efforts by 80%
Led data migration from legacy systems impacting 100+ downstream analytics systems.
Implemented custom audit reconciliation validating 100M+ records daily with Python-based monitoring
Optimized Hive queries achieving 3x performance improvement through partitioning strategies.

Apache SparkPythonData EngineeringETL

Atkins

2 roles

Data Engineer

Aug 2023 – Nov 2025 · 2 yrs 3 mos

🚀 Data Engineer | Full Stack Developer | Problem Solver
I am a Data Engineer and Full Stack Developer with a passion for building automation tools, scalable data pipelines, and intelligent backend systems. I specialize in designing end-to-end solutions that connect data engineering with robust software development practices.
🔹 ETL & Automation – Built reusable ETL pipelines and automated workflows using Python (Pandas, Pydantic), SQL, and Azure Data Factory
🔹 Cloud & Workflows – Developed Azure-based data solutions with Logic Apps, ADLS, and Databricks for streamlined processing
🔹 Backend & Optimization – Engineered complex SQL stored procedures, APIs, and backend logic for performance-optimized systems
🔹 Full Stack Development – Built dynamic web applications using React.js, Node.js, Express.js, and PostgreSQL
🔹 DevOps & CI/CD – Created Dockerized services and configured Azure Pipelines for seamless deployment workflows
🔹 Data Insights – Designed Power BI dashboards and Python-based visualizations for real-time decision making
💡 Key Projects:
✔ Merck – Built a scalable ETL pipeline to automate ingestion of complex Excel and CSV data
✔ GM BRB – Automated processing logic and dashboards for manufacturing analytics
✔ Digital Twin – Designed backend APIs and Azure data flows to track metro system assets
✔ Thames Water (Storm Drain EDA) – Automated data transformation and visualizations for infrastructure monitoring
✔ DMS Tool – Built a Python-based document management system to streamline internal workflows
📌 Tech Stack: Python, SQL, FastAPI, Azure Data Factory, Databricks, PySpark, React.js, Node.js, Express.js, Power BI, Docker, CI/CD, Git
🔗 Let’s connect to build scalable, automation-first solutions that drive real impact!

PythonSQLAzure Data FactoryDatabricksPower BIDocker+2

Software Developer Intern

Jan 2023 – May 2023 · 4 mos

💻 Software Development Intern | Full Stack & Data Solutions
As a Software Development Intern at Atkins Realis, I developed efficient and scalable solutions to enhance data management, workflow automation, and frontend development.
🔹 Document Management System (DMS) – Built a centralized Python-based DMS, improving collaboration and document retrieval efficiency by 85%.
🔹 Automation & Integration – Utilized Power Automate & Power Apps to streamline processes, reducing manual effort by 70%.
🔹 Full Stack Development – Developed interactive frontend interfaces using React.js, improving user experience and accessibility.
🔹 Database Management – Designed and optimized SQL-based backend systems to ensure data consistency & reliability.
Tech Stack: Python, SQL, React.js, Power Automate, Power Apps
This experience strengthened my expertise in full-stack development, automation, and data processing, equipping me to build scalable enterprise solutions. 🚀

PythonSQLReact.jsPower AutomateSoftware Development