Headline

Data Engineer @ JLLTechnologies | Azure Databricks · PySpark · ADF · Delta Lake | Building Lakehouse Pipelines on ADLS Gen2 | Databricks Certified 🏅 | 4.5+ YOE

About

I build data pipelines that business teams actually trust. At JLL Technologies, I build production lakehouse ingesting 1.2 TB of commercial real estate data across 10+ global sources — serving 4,000+ stakeholders worldwide. Here's the business impact I've driven so far: → 92% drop in dashboard latency — event-driven triggers replaced PBI hourly refreshes (60 min → under 5 min) → 40% query performance gain — inline TVF rewrites across 6+ dashboards (5s → under 2s load time) → 30% concurrency improvement — pre-aggregated staging layer handling 100+ simultaneous Power BI users, zero extra infra cost 🔧 Stack: Azure Databricks · PySpark · ADF · Delta Lake · ADLS Gen2 · Synapse Analytics · Unity Catalog · Apache Airflow · Power BI 🏅 Databricks Certified Data Engineer Associate Let's connect. 📧 dilipvignesh14@gmail.com

Location

Greater Bengaluru Area

AI stack

codex

claudecode

Work experience

Data Engineer at JLL Technologies, Jul 2022 - Present · 4 yrs 2 mos, Bengaluru, Karnataka, India

Intern at JLL Technologies, Jan 2022 - Jul 2022 · 7 mos, Bengaluru, Karnataka, India

Education

Bachelor's degree, Electrical, Electronics and Communications Engineering, Amrita Vishwa Vidyapeetham , Amritapuri Campus

Public links

github: https://github.com/VigneshDilip