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Hi, I’m Charan Uppala, a Lead Cloud Data Engineer who thrives on turning complex data into trusted, scalable platforms. I design cloud-native data estates for Retail, Automotive, Finance, and Insurance, specializing in Databricks, PySpark, BigQuery, GCP, AWS, and Azure. I love building ingestion frameworks, automated orchestration, metadata-driven ETL, and enterprise data governance to empower data-driven decisions. Over the years I’ve modernized legacy systems, optimized high-volume pipelines, and led end-to-end analytics modernization programs. I enjoy collaborating with governance teams and engineers to implement standardized templates and robust schema evolution so data remains accurate, secure, and available for the business.…Hi, I’m Charan Uppala, a Lead Cloud Data Engineer who thrives on turning complex data into trusted, scalable platforms. I design cloud-native data estates for Retail, Automotive, Finance, and Insurance, specializing in Databricks, PySpark, BigQuery, GCP, AWS, and Azure. I love building ingestion frameworks, automated orchestration, metadata-driven ETL, and enterprise data governance to empower data-driven decisions. Over the years I’ve modernized legacy systems, optimized high-volume pipelines, and led end-to-end analytics modernization programs. I enjoy collaborating with governance teams and engineers to implement standardized templates and robust schema evolution so data remains accurate, secure, and available for the business.

Charan Uppala

Product Designer, Database Developer, Cloud Developer, +1

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Hi, I’m Charan Uppala, a Lead Cloud Data Engineer who thrives on turning complex data into trusted, scalable platforms. I design cloud-native data estates for Retail, Automotive, Finance, and Insurance, specializing in Databricks, PySpark, BigQuery, GCP, AWS, and Azure. I love building ingestion frameworks, automated orchestration, metadata-driven ETL, and enterprise data governance to empower data-driven decisions. Over the years I’ve modernized legacy systems, optimized high-volume pipelines, and led end-to-end analytics modernization programs. I enjoy collaborating with governance teams and engineers to implement standardized templates and robust schema evolution so data remains accurate, secure, and available for the business.…Hi, I’m Charan Uppala, a Lead Cloud Data Engineer who thrives on turning complex data into trusted, scalable platforms. I design cloud-native data estates for Retail, Automotive, Finance, and Insurance, specializing in Databricks, PySpark, BigQuery, GCP, AWS, and Azure. I love building ingestion frameworks, automated orchestration, metadata-driven ETL, and enterprise data governance to empower data-driven decisions. Over the years I’ve modernized legacy systems, optimized high-volume pipelines, and led end-to-end analytics modernization programs. I enjoy collaborating with governance teams and engineers to implement standardized templates and robust schema evolution so data remains accurate, secure, and available for the business.

Available to hire

Hi, I’m Charan Uppala, a Lead Cloud Data Engineer who thrives on turning complex data into trusted, scalable platforms. I design cloud-native data estates for Retail, Automotive, Finance, and Insurance, specializing in Databricks, PySpark, BigQuery, GCP, AWS, and Azure. I love building ingestion frameworks, automated orchestration, metadata-driven ETL, and enterprise data governance to empower data-driven decisions.

Over the years I’ve modernized legacy systems, optimized high-volume pipelines, and led end-to-end analytics modernization programs. I enjoy collaborating with governance teams and engineers to implement standardized templates and robust schema evolution so data remains accurate, secure, and available for the business.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Lead Cloud Data Engineer at Ford Motors

April 1, 2024 - November 24, 2025

Developed automated GCP ingestion pipeline triggered by GCS events to process raw data files arriving into the landing zone. Implemented optional file-level decryption, schema validation layer, and automated loading of curated datasets into BigQuery. Designed metadata logging, flow-control tracking, and error-state management using Datastore and Firestore. Collaborated with engineering and data governance teams to implement standardized ingestion templates and schema evolution handling.

Lead Cloud Data Engineer at Walmart (Report Builder)

July 31, 2022 - July 31, 2022

Designed, developed, and built ETL frameworks using Dataproc. Tuned and optimized SQL queries with Spark optimizations. Built data pipelines with Scala Spark on GCP, developed ingestion frameworks and data marts to support data ventures, and orchestrated ETL pipelines using Automic. Migrated HiveQL ETL to Google Cloud Platform (GCP) using Cloud Dataproc and BigQuery for automated job triggering. Built large-scale Databricks-based telemetry analytics platform; implemented data quality checks, lineage framework, and structured audit logging using BigQuery and Data Catalog; performed ETL migration from on-prem to GCP; utilized DLP, Cloud Functions, Cloud Run, Bigtable, Cloud Spanner, Cloud SQL.

Lead Cloud Data Engineer at Walmart (Report Builder)

March 31, 2024 - March 31, 2024

Extended ingestion and analytics capabilities on GCP, including CDC data pull via Datastream, data quality and auditing enhancements, and migration of on-prem workloads to BigQuery and Databricks. Implemented scalable telemetry pipelines and KPIs using data modeling techniques.

Senior Technical Lead at Mercedes-Benz (HYB42)

April 1, 2021 - April 1, 2021

Implemented Enterprise Data Lake and Integrated Analytics platform in Azure to support multiple analytics applications. Transformed Matlab-based workflows into Azure/Spark Data as a Service using Azure Databricks and Spark for ETL processing and optimization.

Consultant at Deloitte

January 31, 2019 - January 31, 2019

Developed a framework to accommodate Full loads and Incremental loads in PySpark. Performed data analysis, validations & audit framework implementation. Extensive usage of AWS services (Glue, EC2, EMR, S3) for big data workloads; migrated data from HDFS to AWS S3 using Datasync; created dimension and fact tables, applied Spark transformations, and loaded transformed data into Redshift. Responsible for end-to-end unit testing and agile-driven ELT delivery.

Data Engineer at Broadridge

July 31, 2017 - July 31, 2017

Developed end-to-end ETL workflows for regulatory document composition using Informatica, Unix, Autosys. Processed multi-source NDM feeds and standardized outputs for downstream letter‑composition engine. Performed production support, debugging, workflow performance tuning, and automated monitoring; ensured data accuracy, compliance, and audit-ready reporting for regulatory communications.

Informatica Developer at Cognizant & Infosys

January 31, 2015 - January 31, 2015

Delivered ETL solutions for multiple enterprise clients including HPE, Kaiser, Cigna, and Bank of America. Built 20+ Informatica mappings and reusable transformations (SCD Type 1/2). Designed Autosys workflows and UNIX automation scripts with system-integrated job orchestration. Provided 24x7 production support, root-cause analysis, data reconciliation, and code optimization.

Informatica Developer at Cognizant & Infosys

January 31, 2016 - January 31, 2016

Delivered ETL solutions for enterprise clients; continued development of mappings and workflows; contributed to testing and production readiness; engaged in Agile processes for ELT cycles.