Apr 2026 – Present · 0 mo · Arlington, VA

Aug 2024 – Mar 2026 · 1 yr 7 mos · Arlington, VA

• Building and scaling enterprise-grade data infrastructure on Azure and Databricks to support LNG operations, executive reporting, and advanced analytics across multiple facilities.
• 𝗦𝗲𝗻𝘀𝗼𝗿 𝗗𝗮𝘁𝗮, 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴:
• ‣ Developed a low-latency streaming ingestion solution using Spark Structured Streaming, processing thousands of time-series data points into Delta Lake tables with minimal latency.
• ‣ Designed facility ontologies in Databricks modeling plant systems and subsystems, enriching raw data with contextual metadata to support operational monitoring, downstream reporting, and ML pipelines.
• 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗘𝗻𝗮𝗯𝗹𝗲𝗺𝗲𝗻𝘁 : Collaborated closely with data scientists to define data requirements, enforce schema standards, and improve ingestion quality through data enrichment. Built automated alerting on anomalous data volumes and resolved PySpark performance bottlenecks to ensure pipelines met model training and inference requirements.
• 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 : Architected Venture Global's single source of truth for procurement analytics — an end-to-end medallion architecture pipeline with automated hourly ingestion, data quality checks, and semantic transformations. Reduced BI reporting timelines by 70%.
• 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Built production-grade ADF and Databricks pipelines across access control, workforce management, mass and energy balancing, and executive reporting — ingesting and transforming data from 15+ heterogeneous sources into Delta tables. Collectively estimated to save over 11,000 manual hours per year across facilities.