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I am a results-driven data engineer specializing in Databricks and lakehouse architectures. I build scalable data pipelines, optimize Spark workloads, and implement Medallion Architecture for clean data layers. I collaborate with cross-functional teams to deliver reliable data products and ensure data quality and governance. I strive to continuously tune performance from ingestion to analytics-ready layers, support cloud migrations, and create robust, scalable solutions that empower data-driven decisions.…I am a results-driven data engineer specializing in Databricks and lakehouse architectures. I build scalable data pipelines, optimize Spark workloads, and implement Medallion Architecture for clean data layers. I collaborate with cross-functional teams to deliver reliable data products and ensure data quality and governance. I strive to continuously tune performance from ingestion to analytics-ready layers, support cloud migrations, and create robust, scalable solutions that empower data-driven decisions.

Ashok Kumar Gurram

Data Scientist, Full Stack Developer, Data Analyst, +2

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I am a results-driven data engineer specializing in Databricks and lakehouse architectures. I build scalable data pipelines, optimize Spark workloads, and implement Medallion Architecture for clean data layers. I collaborate with cross-functional teams to deliver reliable data products and ensure data quality and governance. I strive to continuously tune performance from ingestion to analytics-ready layers, support cloud migrations, and create robust, scalable solutions that empower data-driven decisions.…I am a results-driven data engineer specializing in Databricks and lakehouse architectures. I build scalable data pipelines, optimize Spark workloads, and implement Medallion Architecture for clean data layers. I collaborate with cross-functional teams to deliver reliable data products and ensure data quality and governance. I strive to continuously tune performance from ingestion to analytics-ready layers, support cloud migrations, and create robust, scalable solutions that empower data-driven decisions.

Available to hire

I am a results-driven data engineer specializing in Databricks and lakehouse architectures. I build scalable data pipelines, optimize Spark workloads, and implement Medallion Architecture for clean data layers. I collaborate with cross-functional teams to deliver reliable data products and ensure data quality and governance.
I strive to continuously tune performance from ingestion to analytics-ready layers, support cloud migrations, and create robust, scalable solutions that empower data-driven decisions.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Databricks Data Engineer at Uber

March 1, 2025 - Present

Designed and built scalable end-to-end ETL pipelines using PySpark in Databricks for processing 7M+ daily transactional records. Implemented Medallion Architecture (Bronze–Silver–Gold). Built ingestion pipelines loading multi-source data into Bronze using Auto Loader. Developed Silver layer transformations for cleansing, normalization, deduplication, and schema validation. Created Gold analytical datasets powering BI and operational analytics; optimized materialized views for reporting performance. Implemented incremental pipelines using Delta MERGE and CDC patterns. Designed SCD Type 2 frameworks preserving historical data. Improved runtime by 40% through partition tuning, query optimization, and resolving Spark bottlenecks including data skew. Optimized file sizes with OPTIMIZE and Z-ORDER. Governed enterprise data using Unity Catalog and automated orchestration with Databricks Workflows.

Data Engineer at Wipro LTD

October 1, 2021 - December 1, 2022

Developed large-scale ETL pipelines processing 500K+ daily enterprise records. Transitioned legacy full-load pipelines into incremental processing. Built transformation logic using joins, aggregations, window functions, and validations. Designed dimensional data models supporting enterprise reporting. Optimized SQL queries, reducing reporting latency. Implemented automated data quality checks and supported cloud migration initiatives.

Data Engineering Intern at Adani

October 1, 2020 - October 1, 2021

Built ingestion and transformation pipelines for behavioral analytics datasets. Designed aggregation workflows enabling analytics dashboards. Optimized schema design to improve query performance. Automated processing workflows reducing manual monitoring effort.