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Data Engineer with 7+ years in data pipelines, Oracle DB, and cloud platforms
Results-driven Senior Data Engineer and Qliksense Developer with 7+ years of experience designing and managing complex data pipelines, Oracle Database environments, and enterprise ETL/ELT workflows. Proven expertise in Apache NiFi for large-scale data flow and integration, advanced SQL and Python scripting, and Tableau/Power BI dashboarding. Skilled in data architecture, data warehousing, and cloud-based storage systems across AWS, Azure, and GCP. Hands-on experience with Databricks — including Delta Lake, Spark-based transformations, and ML pipelines — enabling scalable, lakehouse-driven analytics. Strong data governance and security practices embedded across all deliverables. Experienced in mentoring junior engineers and collaborating cross-functionally with data scientists, analysts, and business stakeholders to deliver reliable, scalable data solutions. Track record of contributing $2M+ in revenue impact through high-quality, outcome-focused engineering.
Vellore Institute of Technology
Bachelor of Engineering (Civil) · Civil
June 1, 2015 – June 1, 2019
Marsh McLennan
Senior Data Engineer & BI Architect
September 1, 2023 – Present
Gurgaon, Haryana, India
Accenture
Senior Data Engineer – BI Developer
January 1, 2023 – September 1, 2023
Kolkata, West Bengal, India
Tata Consultancy Services (TCS)
Data Engineer - ETL & Pipeline Developer
July 1, 2019 – December 1, 2022
Kolkata, West Bengal, India
Qlik Sense Developer Certification
Qlik
June 1, 2026 – Present
Databricks Certified Data Engineer Associate
Databricks
June 1, 2026 – Present
Generative AI Fundamentals - Databricks
Databricks
June 1, 2026 – Present
Google Data Analyst Certification
June 1, 2026 – Present
Power BI Certification
Power BI
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies (TCS, Accenture, Marsh McLennan) and diverse project types (UK Healthcare Renewal pipeline, Claims Analytics, IPMI Benchmarking) indicates adaptability and a broad exposure to different organizational cultures and business domains. Their certifications in various BI tools and data platforms, including Generative AI Fundamentals, show a proactive approach to continuous learning and staying current with industry trends, which aligns well with a culture of innovation and growth. The mention of mentoring junior engineers also suggests a collaborative and knowledge-sharing mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring abilities, evidenced by their role in guiding junior engineers and setting engineering standards. Their experience in Agile (SAFe/Scrum) environments and collaboration with cross-functional teams (data scientists, analysts, business stakeholders) indicates good operational fit and teamwork capabilities. The emphasis on documentation, data quality, and governance suggests a detail-oriented and responsible approach to data engineering.