About dilip
Hey ! I am a cloud-native data engineering leader with a passion for building resilient architectures that power enterprise transformation. I bring extensive experience in leading modernization initiatives across Azure and GCP, driving performance-tuned systems for batch and streaming workloads, and architecting GenAI solutions that automate and scale with precision.โฃ โฃ From designing real-time, serverless data-processing platforms to developing microservices using ๐๐ฉ๐ซ๐ข๐ง๐ ๐๐จ๐จ๐ญ ๐๐๐๐ ๐ฅ๐ฎ๐ฑ and ๐๐๐ ๐๐-๐ฅ๐จ๐ ๐ ๐๐ ๐จ๐๐ฌ๐๐ซ๐ฏ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ, I thrive at the intersection of innovation and operational excellence. At Albertsons, I led the automation of product catalog enrichment via multi-model LLM pipelinesโ๐๐๐ก๐ข๐๐ฏ๐ข๐ง๐ ๐๐% ๐๐๐๐ฎ๐ซ๐๐๐ฒ ๐๐จ๐ซ ๐๐๐+ ๐๐๐๐ฌ ๐๐๐ข๐ฅ๐ฒ and cutting manual efforts by ๐๐%.โฃ โฃ Whether migrating Snowflake to BigQuery, transitioning platforms from PCF to AKS, or integrating RESTful APIs across multi-cloud systems, I prioritize cost-efficiency, traceability, and delivery integrity. With a background in Hadoop, Spark, Hive, Cassandra, and a variety of data lakes and NoSQL databases, I bring end-to-end expertise to every engagementโfrom ETL pipelines to real-time analytics.โฃ โฃ My goal? To lead teams that craft scalable, intelligent systems which unlock business value at petabyte scale.โฃ โฃ ๐๐จ๐ซ๐ ๐๐จ๐ฆ๐ฉ๐๐ญ๐๐ง๐๐ข๐๐ฌโฃ โฃ * ๐๐ฅ๐จ๐ฎ๐ ๐๐ข๐ ๐ซ๐๐ญ๐ข๐จ๐ง & ๐๐จ๐๐๐ซ๐ง๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Led end-to-end transitions including Databricks upgrades, Snowflake-to-BigQuery shifts, and PCF-to-AKS migration with optimized cost performance.โฃ * ๐๐ข๐ ๐๐๐ญ๐ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ : Developed Spark-based batch and streaming pipelines handling thousands of records and supporting 2,300+ retail locations.โฃ * ๐๐๐ฌ๐๐ซ๐ฏ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ & ๐๐ซ๐ซ๐จ๐ซ ๐๐๐ง๐๐ฅ๐ข๐ง๐ : Enabled enterprise-grade monitoring with SLF4J logs, telemetry layers, and audit-traceable pipelines to support uptime and error resilience.โฃ * ๐๐ฎ๐ฅ๐ญ๐ข-๐๐ฅ๐จ๐ฎ๐ ๐๐ฑ๐ฉ๐๐ซ๐ญ๐ข๐ฌ๐: Operationalized hybrid cloud solutions leveraging GCP, Azure, Cosmos DB, and BigQuery to scale applications and streamline processing.โฃ * ๐๐ข๐ฌ๐๐ฌ๐ญ๐๐ซ ๐๐๐๐จ๐ฏ๐๐ซ๐ฒ & ๐๐๐ญ๐ ๐๐ง๐ญ๐๐ ๐ซ๐ข๐ญ๐ฒ: Designed backup strategies for Cassandra, HDFS, and NoSQL platforms to ensure system continuity and data resilience.โฃ โฃ I am open to dynamic opportunities that leverage emerging technologies, data-driven architecture, and scalable digital solutions. If you're seeking a forward-thinking data engineering professional who bridges innovation with executionโreach out.
Key Skills
Experience
Lead Data Engineer
CurrentAlbertsons Companies
* ๐๐ฏ ๐ฎ๐บ ๐ต๐ฆ๐ฏ๐ถ๐ณ๐ฆ, ๐ ๐ฐ๐ธ๐ฏ๐ฆ๐ฅ ๐ฆ๐ฏ๐ฅ-๐ต๐ฐ-๐ฆ๐ฏ๐ฅ ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ช๐ค๐ข๐ญ ๐ข๐ณ๐ค๐ฉ๐ช๐ต๐ฆ๐ค๐ต๐ถ๐ณ๐ฆ ๐ง๐ฐ๐ณ ๐ค๐ฐ๐ฏ๐ด๐ถ๐ฎ๐ฆ๐ณ-๐ง๐ข๐ค๐ช๐ฏ๐จ ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ๐ด ๐ข๐ฏ๐ฅ ๐ฆ๐ฏ๐ต๐ฆ๐ณ๐ฑ๐ณ๐ช๐ด๐ฆ ๐ช๐ฏ๐ต๐ฆ๐จ๐ณ๐ข๐ต๐ช๐ฐ๐ฏ๐ด, ๐ด๐ฆ๐ต๐ต๐ช๐ฏ๐จ ๐ด๐ค๐ข๐ญ๐ข๐ฃ๐ญ๐ฆ ๐ฅ๐ฆ๐ด๐ช๐จ๐ฏ ๐ด๐ต๐ข๐ฏ๐ฅ๐ข๐ณ๐ฅ๐ด ๐ธ๐ฉ๐ช๐ญ๐ฆ ๐จ๐ถ๐ช๐ฅ๐ช๐ฏ๐จ ๐ฆ๐ฏ๐จ๐ช๐ฏ๐ฆ๐ฆ๐ณ๐ด ๐ต๐ฉ๐ณ๐ฐ๐ถ๐จ๐ฉ ๐ค๐ฐ๐ฎ๐ฑ๐ญ๐ฆ๐น ๐ฎ๐ฐ๐ฅ๐ฆ๐ณ๐ฏ๐ช๐ป๐ข๐ต๐ช๐ฐ๐ฏ ๐ช๐ฏ๐ช๐ต๐ช๐ข๐ต๐ช๐ท๐ฆ๐ด. ๐ ๐ธ๐ข๐ด ๐ณ๐ฆ๐ด๐ฑ๐ฐ๐ฏ๐ด๐ช๐ฃ๐ญ๐ฆ ๐ง๐ฐ๐ณ ๐ข๐ณ๐ค๐ฉ๐ช๐ต๐ฆ๐ค๐ต๐ถ๐ณ๐ข๐ญ ๐ฅ๐ฆ๐ค๐ช๐ด๐ช๐ฐ๐ฏ๐ด, ๐ฅ๐ฆ๐ญ๐ช๐ท๐ฆ๐ณ๐บ ๐ฒ๐ถ๐ข๐ญ๐ช๐ต๐บ, ๐ณ๐ช๐ด๐ฌ ๐ฎ๐ช๐ต๐ช๐จ๐ข๐ต๐ช๐ฐ๐ฏ, ๐ข๐ฏ๐ฅ ๐ข๐ญ๐ช๐จ๐ฏ๐ช๐ฏ๐จ ๐ด๐ฐ๐ญ๐ถ๐ต๐ช๐ฐ๐ฏ๐ด ๐ธ๐ช๐ต๐ฉ ๐ญ๐ฐ๐ฏ๐จ-๐ต๐ฆ๐ณ๐ฎ ๐ฑ๐ญ๐ข๐ต๐ง๐ฐ๐ณ๐ฎ ๐ด๐ต๐ณ๐ข๐ต๐ฆ๐จ๐บ ๐ข๐ค๐ณ๐ฐ๐ด๐ด ๐๐ป๐ถ๐ณ๐ฆ ๐ข๐ฏ๐ฅ ๐๐๐ ๐ฆ๐ค๐ฐ๐ด๐บ๐ด๐ต๐ฆ๐ฎ๐ด.โฃ * โฃ * ๐๐๐ฒ ๐๐๐ก๐ข๐๐ฏ๐๐ฆ๐๐ง๐ญ๐ฌโฃ * ๐๐๐ ๐๐๐ญ๐๐๐ซ๐ข๐๐ค๐ฌ, ๐๐ง๐จ๐ฐ๐๐ฅ๐๐ค๐-๐ญ๐จ-๐๐ข๐ ๐๐ฎ๐๐ซ๐ฒ, ๐๐ง๐ ๐๐๐ -๐ญ๐จ-๐๐๐ ๐ฆ๐ข๐ ๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ, ๐๐ซ๐ข๐ฏ๐ข๐ง๐ ๐ฉ๐๐ซ๐๐จ๐ซ๐ฆ๐๐ง๐๐ ๐ ๐๐ข๐ง๐ฌ ๐๐ง๐ ๐ฆ๐๐๐ฌ๐ฎ๐ซ๐๐๐ฅ๐ ๐๐ณ๐ฎ๐ซ๐ ๐๐จ๐ฌ๐ญ ๐ซ๐๐๐ฎ๐๐ญ๐ข๐จ๐ง๐ฌโฃ * ๐๐ฎ๐ข๐ฅ๐ญ ๐ซ๐๐๐๐ญ๐ข๐ฏ๐ ๐๐ฉ๐ซ๐ข๐ง๐ ๐๐จ๐จ๐ญ ๐๐๐๐ ๐ฅ๐ฎ๐ฑ ๐ฆ๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐๐ง๐ ๐ฅ๐๐ซ๐ ๐-๐ฌ๐๐๐ฅ๐ ๐ข๐ง๐ ๐๐ฌ๐ญ๐ข๐จ๐ง ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐ ๐๐๐โ๐๐๐ ๐ซ๐๐๐จ๐ซ๐๐ฌ ๐ฉ๐๐ซ ๐ซ๐ฎ๐งโฃ * ๐๐ซ๐๐ก๐ข๐ญ๐๐๐ญ๐๐ ๐๐๐ง๐๐-๐๐ซ๐ข๐ฏ๐๐ง ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐๐๐ญ๐๐ฅ๐จ๐ ๐๐ง๐ซ๐ข๐๐ก๐ฆ๐๐ง๐ญ ๐ฉ๐ฅ๐๐ญ๐๐จ๐ซ๐ฆ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐ง๐ ๐๐๐+ ๐๐๐๐ฌ ๐๐๐ข๐ฅ๐ฒ ๐ฐ๐ข๐ญ๐ก ๐๐% ๐๐๐๐ฎ๐ซ๐๐๐ฒ
Data Engineer
Albertsons Companies
* ๐ ๐ธ๐ฐ๐ณ๐ฌ๐ฆ๐ฅ ๐ธ๐ช๐ต๐ฉ๐ช๐ฏ ๐๐ฉ๐ฐ๐ฑ๐ฑ๐ฆ๐ณ ๐๐น๐ฑ๐ฆ๐ณ๐ช๐ฆ๐ฏ๐ค๐ฆ ๐ช๐ฏ๐ช๐ต๐ช๐ข๐ต๐ช๐ท๐ฆ๐ด, ๐ฆ๐ฏ๐ข๐ฃ๐ญ๐ช๐ฏ๐จ ๐ฏ๐ฆ๐ข๐ณ ๐ณ๐ฆ๐ข๐ญ-๐ต๐ช๐ฎ๐ฆ ๐ฑ๐ถ๐ฃ๐ญ๐ช๐ค๐ข๐ต๐ช๐ฐ๐ฏ ๐ฐ๐ง ๐ฑ๐ณ๐ฐ๐ฅ๐ถ๐ค๐ต, ๐ฑ๐ณ๐ช๐ค๐ช๐ฏ๐จ, ๐ข๐ฏ๐ฅ ๐ช๐ฏ๐ท๐ฆ๐ฏ๐ต๐ฐ๐ณ๐บ ๐ฅ๐ข๐ต๐ข ๐ข๐ค๐ณ๐ฐ๐ด๐ด ๐ต๐ฉ๐ฐ๐ถ๐ด๐ข๐ฏ๐ฅ๐ด ๐ฐ๐ง ๐ด๐ต๐ฐ๐ณ๐ฆ๐ด. ๐ ๐ธ๐ข๐ด ๐ณ๐ฆ๐ด๐ฑ๐ฐ๐ฏ๐ด๐ช๐ฃ๐ญ๐ฆ ๐ง๐ฐ๐ณ ๐ฅ๐ฆ๐ด๐ช๐จ๐ฏ๐ช๐ฏ๐จ ๐ด๐ค๐ข๐ญ๐ข๐ฃ๐ญ๐ฆ ๐ช๐ฏ๐จ๐ฆ๐ด๐ต๐ช๐ฐ๐ฏ ๐ฑ๐ช๐ฑ๐ฆ๐ญ๐ช๐ฏ๐ฆ๐ด, ๐ฃ๐ถ๐ช๐ญ๐ฅ๐ช๐ฏ๐จ ๐๐๐๐ด, ๐ข๐ฏ๐ฅ ๐ค๐ฐ๐ญ๐ญ๐ข๐ฃ๐ฐ๐ณ๐ข๐ต๐ช๐ฏ๐จ ๐ข๐ค๐ณ๐ฐ๐ด๐ด ๐ฑ๐ณ๐ฐ๐ฅ๐ถ๐ค๐ต ๐ข๐ฏ๐ฅ ๐ฆ๐ฏ๐จ๐ช๐ฏ๐ฆ๐ฆ๐ณ๐ช๐ฏ๐จ ๐ต๐ฆ๐ข๐ฎ๐ด ๐ต๐ฐ ๐ฅ๐ฆ๐ญ๐ช๐ท๐ฆ๐ณ ๐ณ๐ฆ๐ถ๐ด๐ข๐ฃ๐ญ๐ฆ, ๐ฉ๐ช๐จ๐ฉ-๐ฒ๐ถ๐ข๐ญ๐ช๐ต๐บ ๐ฅ๐ข๐ต๐ข ๐ด๐ฆ๐ณ๐ท๐ช๐ค๐ฆ๐ด.โฃ * โฃ * ๐๐๐ฒ ๐๐๐ก๐ข๐๐ฏ๐๐ฆ๐๐ง๐ญ๐ฌโฃ * ๐๐๐ก๐ข๐๐ฏ๐๐ ๐ง๐๐๐ซ ๐ซ๐๐๐ฅ-๐ญ๐ข๐ฆ๐ ๐๐๐ญ๐ ๐๐ฏ๐๐ข๐ฅ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ ๐ญ๐ก๐ซ๐จ๐ฎ๐ ๐ก ๐๐ฉ๐๐ซ๐ค ๐๐๐ญ๐๐ก ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ ๐๐ง๐ ๐๐ญ๐ซ๐ฎ๐๐ญ๐ฎ๐ซ๐๐ ๐๐ญ๐ซ๐๐๐ฆ๐ข๐ง๐ ๐๐๐๐จ๐ฎ๐ฉ๐ฅ๐ข๐ง๐ โฃ * ๐๐๐ฏ๐๐ฅ๐จ๐ฉ๐๐ ๐๐ง๐ญ๐๐ซ๐ฉ๐ซ๐ข๐ฌ๐ ๐๐๐๐ ๐๐๐๐ฌ ๐๐ง๐ ๐ฆ๐ข๐๐ซ๐จ๐ฌ๐๐ซ๐ฏ๐ข๐๐๐ฌ ๐ฎ๐ฌ๐ข๐ง๐ ๐๐๐ฏ๐ ๐๐ง๐ ๐๐ฉ๐ซ๐ข๐ง๐ ๐๐จ๐จ๐ญ ๐ฐ๐ข๐ญ๐ก ๐ฌ๐ญ๐ซ๐จ๐ง๐ ๐ญ๐๐ฌ๐ญ๐ข๐ง๐ ๐๐จ๐ฏ๐๐ซ๐๐ ๐โฃ * ๐๐ฎ๐ข๐ฅ๐ญ ๐ฎ๐ง๐ข๐๐ข๐๐ ๐๐จ๐ง๐ฌ๐ฎ๐ฆ๐๐ซ-๐๐๐๐ข๐ง๐ ๐ฉ๐ซ๐จ๐๐ฎ๐๐ญ ๐๐๐ญ๐ ๐ฅ๐๐ฒ๐๐ซ ๐ข๐ง๐ญ๐๐ ๐ซ๐๐ญ๐ข๐ง๐ ๐๐๐๐ฌ, ๐๐๐๐ค๐ ๐ฌ๐ญ๐ซ๐๐๐ฆ๐ฌ, ๐๐ง๐ ๐๐๐ญ๐๐๐๐ฌ๐๐ฌ ๐ข๐ง๐ญ๐จ ๐๐จ๐ฌ๐ฆ๐จ๐ฌ ๐๐โฃ
Big Data Developer
* ๐๐ฏ ๐ต๐ฉ๐ช๐ด ๐ณ๐ฐ๐ญ๐ฆ, ๐ ๐ด๐ถ๐ฑ๐ฑ๐ฐ๐ณ๐ต๐ฆ๐ฅ ๐ญ๐ข๐ณ๐จ๐ฆ-๐ด๐ค๐ข๐ญ๐ฆ ๐ค๐ญ๐ฐ๐ถ๐ฅ ๐ฎ๐ช๐จ๐ณ๐ข๐ต๐ช๐ฐ๐ฏ๐ด ๐ข๐ฏ๐ฅ ๐ฆ๐ฏ๐ต๐ฆ๐ณ๐ฑ๐ณ๐ช๐ด๐ฆ ๐ข๐ฏ๐ข๐ญ๐บ๐ต๐ช๐ค๐ด ๐ฃ๐บ ๐ฅ๐ฆ๐ด๐ช๐จ๐ฏ๐ช๐ฏ๐จ ๐๐๐ ๐ฑ๐ช๐ฑ๐ฆ๐ญ๐ช๐ฏ๐ฆ๐ด ๐ข๐ฏ๐ฅ ๐ฎ๐ข๐ฏ๐ข๐จ๐ช๐ฏ๐จ ๐๐ข๐ฅ๐ฐ๐ฐ๐ฑ ๐ฆ๐ค๐ฐ๐ด๐บ๐ด๐ต๐ฆ๐ฎ๐ด ๐ฐ๐ฏ ๐๐๐. ๐ ๐ธ๐ข๐ด ๐ณ๐ฆ๐ด๐ฑ๐ฐ๐ฏ๐ด๐ช๐ฃ๐ญ๐ฆ ๐ง๐ฐ๐ณ ๐ฅ๐ข๐ต๐ข ๐ฎ๐ฐ๐ท๐ฆ๐ฎ๐ฆ๐ฏ๐ต ๐ณ๐ฆ๐ญ๐ช๐ข๐ฃ๐ช๐ญ๐ช๐ต๐บ, ๐ฑ๐ฆ๐ณ๐ง๐ฐ๐ณ๐ฎ๐ข๐ฏ๐ค๐ฆ ๐ฐ๐ฑ๐ต๐ช๐ฎ๐ช๐ป๐ข๐ต๐ช๐ฐ๐ฏ, ๐ข๐ฏ๐ฅ ๐ฆ๐ฏ๐ด๐ถ๐ณ๐ช๐ฏ๐จ ๐ณ๐ฆ๐ด๐ช๐ญ๐ช๐ฆ๐ฏ๐ค๐ฆ ๐ข๐ค๐ณ๐ฐ๐ด๐ด ๐ฑ๐ฆ๐ต๐ข๐ฃ๐บ๐ต๐ฆ-๐ด๐ค๐ข๐ญ๐ฆ ๐ฆ๐ฏ๐ท๐ช๐ณ๐ฐ๐ฏ๐ฎ๐ฆ๐ฏ๐ต๐ด.โฃ * โฃ * ๐๐๐ฒ ๐๐๐ก๐ข๐๐ฏ๐๐ฆ๐๐ง๐ญ๐ฌโฃ * ๐๐ฑ๐๐๐ฎ๐ญ๐๐ ๐ฉ๐๐ญ๐๐๐ฒ๐ญ๐-๐ฌ๐๐๐ฅ๐ ๐ฆ๐ข๐ ๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ ๐๐ซ๐จ๐ฆ ๐๐ซ๐๐๐ฅ๐ ๐๐ง๐ ๐๐๐ ๐๐๐ซ๐ฏ๐๐ซ ๐ข๐ง๐ญ๐จ ๐๐๐ ๐ ๐ฎ๐ฌ๐ข๐ง๐ ๐๐ช๐จ๐จ๐ฉโฃ * ๐๐ฎ๐ข๐ฅ๐ญ ๐ซ๐๐๐ฅ-๐ญ๐ข๐ฆ๐ ๐ฉ๐ซ๐จ๐๐๐ฌ๐ฌ๐ข๐ง๐ ๐ฉ๐ข๐ฉ๐๐ฅ๐ข๐ง๐๐ฌ ๐ฐ๐ข๐ญ๐ก ๐๐ฉ๐๐๐ก๐ ๐๐ญ๐จ๐ซ๐ฆ ๐๐ง๐ ๐ ๐ฅ๐ฎ๐ฆ๐ ๐๐จ๐ซ ๐ก๐ข๐ ๐ก-๐ฏ๐จ๐ฅ๐ฎ๐ฆ๐ ๐ฅ๐จ๐ ๐ข๐ง๐ ๐๐ฌ๐ญ๐ข๐จ๐งโฃ * ๐๐๐ฌ๐ข๐ ๐ง๐๐ ๐๐ข๐ฌ๐๐ฌ๐ญ๐๐ซ ๐ซ๐๐๐จ๐ฏ๐๐ซ๐ฒ ๐๐ง๐ ๐๐๐๐ค๐ฎ๐ฉ ๐ฌ๐ญ๐ซ๐๐ญ๐๐ ๐ข๐๐ฌ ๐๐จ๐ซ ๐๐๐ฌ๐ฌ๐๐ง๐๐ซ๐ ๐๐ง๐ฌ๐ฎ๐ซ๐ข๐ง๐ ๐ก๐ข๐ ๐ก ๐๐ฏ๐๐ข๐ฅ๐๐๐ข๐ฅ๐ข๐ญ๐ฒ
Education
Vellore Institute Of Technology
Bachelors
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Common Questions
What is dilip's expertise?
dilip specializes in LLM Engineer - Remote, with expertise in apache cassandra, apache hadoop, apache kafka, apache spark, hadoop.
Where is dilip located?
dilip is based in san francisco, california, united states.
How much experience does dilip have?
dilip has 16+ years of professional experience.
How can I contact dilip?
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