Data Engineer with 6+ years of experience designing scalable ETL pipelines and lakehouse architectures for diverse data types including BIM, geospatial, imagery and IOT across analytics and operational use cases.
Strong background in Python, SQL, Apache Spark, Databricks, Airflow, Docker, GitHub, and cloud environments including Azure and AWS. Experienced working with structured, semi-structured, and unstructured data, collaborating with data scientists and cross-functional teams, and mentoring junior engineers to improve data quality, performance, and reliability across production systems.
Continuing data engineering work for DLR Group through MobSquad's cross-border consulting model, focused on BIM, geospatial, and imagery data platforms running on Databricks and Neo4J.
Designed and maintained scalable ETL pipelines in Databricks and Airflow ingesting BIM, geospatial, and imagery data into a cloud lakehouse across 2000+ projects. Built Neo4J graph applications on IFC/BIM geometry for space intelligence and furniture placement analysis across 100+ active building models. Promoted to Associate in Apr 2026.
Architected a real-time analytics platform on Kafka + Spark Streaming, cutting data latency from hours to minutes and reducing error rates by 40% via inline data-quality checks. Led the on-prem to Snowflake migration and query-model redesign that delivered 65% faster reporting and 35% lower infrastructure cost.
Built a Customer 360 data platform integrating 10+ sources under CCPA/GDPR governance, with Airflow pipelines processing 1TB+ daily. Partnered with data scientists on an end-to-end ML pipeline for predictive maintenance (MLflow + Kubernetes), cutting model deployment time from weeks to hours and adding an A/B testing framework.
Built ETL pipelines integrating sales data from multiple CRM systems and shipped interactive Tableau dashboards that increased sales-team efficiency by 25%. Query tuning cut dashboard load times by 50%.
Built Python/SQL ingestion and ETL scripts consolidating internal operational data into SQL Server, added validation and monitoring checks, and shipped SQL views supporting ad-hoc reporting for business stakeholders.
Managed a 10-person Alpha test team; authored 1000+ test cases hitting 95% coverage and documented 200+ defects averaging <48h to resolution. QA process work drove a 64% efficiency improvement and 20% reduction in defect leakage.
Designed, installed, and troubleshot computer systems, printers, networks (routers, switches, APs), and security systems (cameras, DVR). Owned diagnostic workflows that minimized client downtime and managed the technical-requirement loop with clients.
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