Gopikrishna Ravipati

About Gopikrishna Ravipati

I am a Data Engineer / Big Data Specialist with 3.8+ years of hands-on experience in Hadoop, Cloudera, and cloud-based big data platforms (GCP & AWS), delivering end-to-end, production-ready data pipelines for enterprise analytics. My work spans Production, UAT, and Dev environments, focusing on data reliability, performance, and SLA-driven operations. & : & : HDFS, YARN, Hive, MapReduce, Spark, Hue, HMS, Tez, NiFi (for on-prem workflows): GCP (GCS, Pub/Sub, Dataflow, BigQuery), AWS basics & : Python, PySpark, Scala, SQL, Shell Scripting & : Sqoop (MySQL → HDFS), batch & real-time streaming pipelines & : Grafana, BMC Helix, MTTR optimization, SLA adherence & : Ranger, Atlas, SOX/KPMG compliance readiness & : Git, Confluence : Sprint planning, backlog refinement, retrospectives & : Pipeline optimization, performance tuning, production troubleshootingI specialize in building robust pipelines from systems to analytics, ensuring high-quality, structured, and analytics-ready data. I actively manage large-scale data hubs, optimize cluster and job performance, and ensure proactive monitoring and incident resolution.*_(\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\",\"\");I am passionate about leveraging big data frameworks, cloud-native solutions, and automation to create efficient, scalable, and reliable data platforms that deliver actionable business insights.

Experience

1. Data Eng Mgmt & Governance Analyst

   Accenture

   Dec 2024 — Present · Hyderabad, IN

   I manage end-to-end big data pipelines on GCP, ensuring reliable, optimized, and scalable data processing for enterprise analytics in the Telecom domain. My work focuses on data ingestion, transformation, and loading into BigQuery, supporting real-time and batch workflows: Ingested and processed data from OLTP systems (MySQL) into GCS (Google Cloud Storage) for further transformation Built and maintained ETL/ELT pipelines using GCP Dataflow, including data filtering, transformation, and enrichment Managed real-time streaming data using Pub/Sub, handling large-scale event processing with low latency Loaded cleaned, structured data into BigQuery, enabling analytics and reporting for business insights Developed Python, PySpark, and Scala scripts for data transformation, batch processing, and performance optimization Automated cloud storage tasks using gsutil for efficient data management Monitored pipeline performance, ensuring SLA adherence and MTTR improvement for production workflows Collaborated with cross-functional teams in Agile frameworks, participating in sprint planning, backlog refinement, and retrospectives Maintained version control and documentation using Git and Confluence & :SQL | Python | PySpark | Scala | GCP | GCS | Pub/Sub | Dataflow | BigQuery | gsutil | Git | Confluence | Agile Methodologies :Enterprise / Telecom Big Data & Cloud Analytics

Education

• Vignan Institute of Technology and Science

  Intermediate , MPC

• Zphs school Madala

  Schooling - Telugu Medium

• Bharath Institute of Higher Education and Research

  Bachelor of Technology - BTech, Computer science and engineering