Data Engineer Power Bi

Chetan Badgujar

****************@*****.*** +1-980-***-**** LinkedIn

Professional Summary

Detail-oriented Data Engineer with over 5 years of experience in building scalable data pipelines, optimizing cloud-native solutions, and driving cost efficiency in enterprise data environments. Adept in leveraging platforms like GCP and AWS to support real-time and batch data processing. Demonstrated success in enhancing data integrity, system uptime, and operational reliability through automation and monitoring. Technical Proficiencies

● Cloud Services: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub), AWS, Azure

● Languages: Python, Java, C++, R

● Data Tools: Apache Spark (PySpark), Pandas, NumPy, Airflow, Talend

● Visualization: Tableau, Power BI, Looker

● Databases: SQL Server, SAP HANA, Oracle, DynamoDB, CosmosDB

● Warehousing: BigQuery, Snowflake, Hive, Presto

● DevOps & CI/CD: Docker, Kubernetes, Terraform, Jenkins, Git

● Serialization: Parquet, AVRO, JSON

● APIs: REST, SOAP

Professional Experience

Swift Transportation – Charlotte, NC Data Engineer Jul 2024 – Present

● Delivered production support for GCP-based pipelines, resolving critical incidents with minimal downtime.

● Tuned BigQuery jobs via table partitioning and clustering, improving query latency by 40%.

● Deployed Python-based validation frameworks, increasing data accuracy in operational dashboards.

● Reduced manual maintenance by automating recurring tasks using Airflow and Cloud Functions.

● Enhanced system throughput by refining Dataflow pipelines and optimizing memory utilization. Albertsons – Dallas, TX Data Engineer Aug 2022 – Apr 2023

● Maintained uptime of production pipelines on GCP, implementing Cloud Logging for root cause analysis.

● Applied IAM roles and policies to secure access across data products in compliance with audit protocols.

● Designed and tested disaster recovery strategies across BigQuery and Dataflow environments.

● Reduced BigQuery spend by ~25% through proactive resource scaling and usage audits.

● Configured Stackdriver alerts for anomaly detection, resulting in 35% faster incident response. Skillo Inc – Charlotte, NC Data Engineer Dec 2021 – May 2022

● Managed ETL workflows with Airflow, maintaining SLAs and reducing job failures by 20%.

● Validated and optimized Dataflow pipelines handling real-time telemetry feeds.

● Deployed monitoring dashboards using Google Data Studio and Cloud Monitoring for system health.

● Strengthened access governance using IAM and conducted quarterly audit reviews.

● Partnered with QA and DevOps for streamlined CI/CD deployments and patch rollouts. University of North Carolina – Charlotte, NC Operations Analyst Oct 2018 – Dec 2019

● Automated legacy Excel reports using Power Query and VBA, cutting turnaround time by 30%.

● Created onboarding documentation and led peer training to enhance cross-functional efficiency.

● Recognized for excellence in internal stakeholder engagement and support responsiveness. Education

University of North Carolina at Charlotte – Charlotte, NC

● Master of Science in Computer Science, Expected May 2025

● Bachelor of Science in Computer Science, May 2022 Innovation & IP

Provisional Patent: Adilights

Filed with USPTO – April 2024

● Developed a braking light system to distinguish human vs. adaptive cruise control braking, addressing visibility issues and promoting traffic safety.

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