Devanga Chandan
Data Engineer Iii at Ghx
Based in Hyderabad, India
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Seniority
Staff
Department
Information Technology
Location
Hyderabad
Industry
Hospitals and Health Care
Company size
2.3K
Contact information
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d•••••••@ghx.com
Phone
5 credits+91 ••• •••• ••••
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Background
About Devanga Chandan
Senior Data Engineer | Data Science | MDM | Analytics | AI/ML I am a Senior Data Engineer with 8+ years of experience across Product, IT, and Consulting organizations, architecting scalable big data solutions and delivering end-to-end data engineering, analytics, and automation. Skilled in Python, SQL, Snowflake, AWS, FastAPI, Airflow, Docker, Ataccama MDM, PIM (Viamedici, Stibo), MongoDB, Tableau, and Power BI, I specialize in building data platforms that fuel business performance and decision-making. Data Engineering & Cloud Pipelines – Designed real-time & batch ETL/ELT workflows across Snowflake, AWS, PostgreSQL, and MongoDB, reducing latency by 40% and ensuring a single source of truth. Master Data Management & Catalog Automation – Built golden record creation workflows in Ataccama MDM and led PIM implementations (Viamedici, Stibo) to improve product data quality, governance, and compliance (HIPAA, PHI, UNSPSC, HCPCS). APIs & Automation – Developed FastAPI-based services for real-time Snowflake integration, Dockerized deployments, and implemented AI-driven automation (LangChain, Playwright, AWS) to replace legacy Selenium workflows. Analytics & Advanced Insights – Delivered executive dashboards (Tableau, Power BI, Sigma) and predictive ML models (TensorFlow, scikit-learn) that improved customer activation by 30% and guided EBITDA-focused financial strategies. Global Stakeholder Engagement – Acted as Technical Account Manager for 50+ enterprise clients, collaborating with VP & C-level leaders (Google, Applied Materials, US & EMEA clients) to align technical solutions with strategic goals. Business Enablement & Leadership – Designed system architectures, mentored junior engineers, and built recommendation engines & forecasting models that directly impacted supply chain, healthcare, and e-commerce growth. Passionate about Data Engineering, AI/ML, data science, and Cloud Ecosystems, I thrive on solving complex data challenges and building scalable data platforms.
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