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Data Engineer with 6+ years in Data Engineering, ETL & Cloud Platforms
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Data Engineer with more than 6 years of experience in Data Engineering and Data Analysis. I design and implement scalable data solutions, build strong data pipelines, and improve processing workflows using Python, PySpark, SQL, Pandas, Apache Spark, Azure and AWS. I ensure data quality, automate reporting processes, and provide insights to support business decisions. I hold a Postgraduate Certification in Data Science and Business Analytics from UT Austin. I can connect technical skills with business needs through data-driven solutions.
Mc. Combs School of Business | UT of Texas at Austin
PG Diploma · Data Science and Business Analytics
August 1, 2024 – June 30, 2025
Saranathan College of Engineering | Anna University
Bachelor of Engineering · Mechanical
August 1, 2015 – June 30, 2019
Apollo Hospitals Enterprise Limited
Senior Executive - IT
October 1, 2024 – Present
India
Tata Consultancy Services Ltd
Data Engineer
October 1, 2023 – September 1, 2024
India
Project: Pladis
Data Engineer
October 1, 2019 – September 1, 2023
India
Domain-Specific Q&A Chatbot (RAG)
January 1, 2026 – Present
Built a chatbot using Gemini AI, LLMs, and Vector DB to answer queries from documents like contracts and policies, improving internal knowledge access.
Optimizing Product Supply to Warehouses Using Machine Learning for Inventory Cost Reduction
January 1, 2026 – Present
The project successfully demonstrated the use of machine learning to address demand-supply mismatches in warehouse logistics. Using predictive models, we identified key drivers affecting product shipment, enabling optimized inventory planning. The solution showed high accuracy and interpretability, making it actionable for business deployment. This approach not only reduces inventory costs but also enhances customer satisfaction. The strong model performance justifies the adoption of data-driven strategies and opens scope for future data integration.
Resume Filtering System (RAG)
January 1, 2026 – Present
Developed a resume screening tool with Azure OpenAI, LLMs, and Vector DB to match candidates to job descriptions across formats, streamlining recruitment.
Azure AI Fundamentals
Microsoft Certified
June 1, 2026 – Present
Power BI Data Analyst Associate
Microsoft Certified
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from traditional data engineering to modern AI/ML applications (RAG chatbots, resume filtering), indicates a broad interest in data-related fields and adaptability. The academic pursuit in Data Science and Business Analytics further strengthens their profile for roles requiring analytical depth. The experience across different companies (Apollo Hospitals, TCS, Pladis) and exposure to various tech stacks (AWS, Azure, Snowflake, Redshift) suggests an ability to integrate into diverse technical environments. The current role as Senior Executive - IT at Apollo Hospitals, combined with previous Data Engineer roles, shows a progression and alignment with the target role of Data Engineer.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight collaboration with stakeholders to define data needs and turn trends into insights, suggesting good communication and analytical skills. The focus on automating processes and tracking/fixing pipeline issues indicates a detail-oriented and problem-solving approach. The personal projects involving AI/ML demonstrate initiative and a willingness to explore new technologies, which aligns with an innovative operational fit.