Senior Data Engineer - GCP Analytics Platforms

Akhil Reddy Edla

+1-913-***-**** ****************@*****.*** linkedin.com/in/akhil-r-5ba03731b/ SENIOR DATA ENGINEER

Senior Data Engineer with 5+ years building large-scale analytics platforms on Google Cloud Platform (GCP) using BigQuery, Dataproc, Cloud Composer, and Python. Delivered pipelines processing 200M+ daily events at sub-2-minute latency, analytics-ready models, and business dashboards. Combines cross-functional architecture collaboration with production AI/ML applications to enable reliable data analytics and decision support. TECHNICAL SKILLS

Cloud & Data Platforms: Google Cloud Platform, Dataproc, Cloud Composer, Cloud Run Databases & Warehouses: BigQuery, Snowflake

BI & Visualization: Tableau, Power BI

Programming & Query Languages: Python, SQL, DAX

Data Engineering: PySpark, Change Data Capture, Apache Spark AI / ML: Vertex AI, LangGraph, RAG, LLM Evaluation PROFESSIONAL EXPERIENCE

Senior Data Engineer, CenterPoint Energy Apr 2023 - Present Architected a customer journey analytics platform on Google Cloud Platform (GCP) using Cloud Composer, Dataproc PySpark, and BigQuery to unify fragmented Adobe behavioral events and CRM data, enabling daily-use Power BI dashboards for marketing and product teams.

Designed Datastream CDC ingestion into BigQuery for 200M+ daily Genesys call-center events, using idempotent upserts, deduplication, dead-letter queues, and replay to meet a sub-2-minute latency SLA. Built a configuration-driven Python ingestion engine on Cloud Run for 25+ production connectors, using source schemas and watermarks to reduce new-source onboarding from weeks to days. Presented technical designs to senior leadership and collaborated with architecture, analytics, and business partner teams to align enterprise data architecture with analytics, ML, and regulatory reporting needs. Developed 60+ dbt Core models across BigQuery and Snowflake using incremental transformations, SCD snapshots, and automated tests, with Cloud Composer orchestration and CI/CD quality gates improving freshness and reducing undetected data drift.

Built a production LangGraph multi-agent RAG system on Vertex AI over 100K+ internal documents, applying hallucination scoring, citation tracing, and LLM evaluation to reduce analyst research time for regulatory questions. Data Engineer, SAP India (SAP Labs) Jan 2021 - Dec 2022 Modernized on-premises SAP BW analytics by mapping 80+ InfoObjects, InfoCubes, and DSOs to Amazon Redshift dimensional schemas, using Python and AWS Glue extraction with KPI validation to enable cloud-native analytics with report parity.

Standardized Oracle ERP financial transactions for management reporting through Python ETL and Oracle PL/SQL extraction, cleansing AP, AR, GL, and cost-center data and normalizing currencies before loading Amazon Redshift. Engineered SSIS warehouse loads integrating Oracle, SQL Server, and flat files with audit logging and restart recovery, processing 50M+ nightly records for BI across 10+ business units. Enabled governed executive KPI reporting across sales, operations, and finance by developing Power BI semantic models with DAX, business-unit row-level security, and incremental refresh, then publishing certified datasets and dashboards.

Implemented Azure DevOps CI/CD with automated testing, linting, PR reviews, and deployment gates across development, staging, and production, reducing deployment errors and accelerating releases from weekly to daily. EDUCATION

Master of Science, Computer Science, University of Central Missouri, Warrensburg, MO CERTIFICATIONS

Google Cloud Professional Data Engineer Microsoft Certified: Power BI Data Analyst Associate (PL-300)

Contact this candidate