Lead Data Engineer with 4.8+ years of experience building data platforms, pipelines, and lakehouse architectures across cloud ecosystems. Currently leading end-to-end project delivery at Aidetic/AAYS from pre-sales and discovery all the way through to production handover. Over the years, I've worked with 18+ clients across domains like fintech & banking (HDFC, Scripbox, Epifi, 73 Strings), healthcare (Karkinos), media & entertainment (Hotstar, Dashtoon), travel & hospitality (TBO, IBS Software), e-commerce & logistics (ClickPost, Shop Japan), energy & utilities (Urbint), enterprise SaaS (MindTickle, Tata iQ), fleet management (Fleetcare), and on-demand services (Awign, Snabbit). This cross-industry exposure has shaped how I approach data problems - there's no one-size-fits-all, and I've learned to adapt architectures to what the business actually needs. Tech Stack : 1.)Cloud & Lakehouse: Databricks (Lakeflow Connect, Structured Streaming, Spark Declarative Pipelines, Lakebase, Databricks Apps, Delta Live Tables), Azure Synapse, ADLS, Snowflake, Redshift, Google BigQuery, S3, GCP Bucket 2.)Programming & Processing: Python, SQL, PySpark 3.)Orchestration & Integration: Azure Data Factory, Databricks Workflows, Airflow, Fivetran, DBT 4.)Databases: PostgreSQL, MySQL, SQL Server, MongoDB, CosmosDB, Elasticsearch 5.)Streaming: Kafka, Kinesis, Structured Streaming, Auto Loader, SDP 6.)BI & AI: Databricks Dashboards, Databricks Genie, Metric Views (Text-to-SQL) 7.)Version Control: GitHub, Azure DevOps, Bitbucket I'm Databricks certified ×5 - Data Engineer Professional, Data Engineer Associate, ML Associate, ML Engineer Professional, Gen AI Engineer Associate, Generative AI Fundamentals, and Lakehouse Fundamentals Where I see data engineering heading is straight into AI and ML territory. The pipelines we build today aren't just feeding dashboards - they're powering ML models, generative AI applications, and real-time decision systems. Building AI-ready data platforms is what I'm actively pushing toward, and I think that's where the real impact lies for the next generation of data engineers. Outside of project delivery, I mentor aspiring data professionals - ranked in the top 1% on Topmate in 2025 - and I'm still actively upskilling professionals who want to break into or grow within data engineering.