Bengaluru, Karnataka, India
I’m a Senior Data Engineer with 5+ years of experience building scalable data systems that power analytics, decision-making, and increasingly, AI-driven applications. Currently, I work at the intersection of data engineering and marketing analytics, designing pipelines and data models that support large-scale ad platforms. My work focuses on transforming raw, multi-channel data (impressions, clicks, spend, and revenue) into reliable, analytics-ready datasets used for attribution, performance measurement, and business insights. Over time, my focus has evolved beyond traditional ETL. I’m actively exploring and building systems that enable AI and Agentic AI workflows — where data pipelines don’t just move data, but power intelligent, automated decision-making systems. What I bring: • Strong foundation in data engineering — ETL pipelines, data warehousing, and scalable architectures • Hands-on experience with SQL, Python, and distributed data processing • Experience working with large-scale marketing/AdTech datasets and attribution systems • Growing focus on AI/ML pipelines and Agentic AI systems I’m particularly interested in: → Building data platforms that enable AI-first products → Designing systems for real-time and intelligent decision-making → Exploring Agentic AI use cases in analytics and automation I enjoy solving complex data problems and building systems that are not just scalable, but actually useful for driving business impact. Always open to connecting with people working in Data Engineering, AI, and emerging Agentic systems.
1. Interacted with stakeholders (Developers, Data Science, Product Manager) and understand their business requirements 2. Perform Ad-hoc analysis using SQL 3. Driving business metrics and goals, track, and measure activities 4. Data analysis and build solutions based on insights captured from data 5. Review, Validation & Documentation of Look-back issues 6. Automating the manual tasks using Python