Harish Ravula
Birmingham, AL **********@*****.*** +1-205-***-**** LinkedIn
SUMMARY
Data Analyst with over 3+ years of experience automating cloud infrastructure for Fortune 500 companies including JPMorgan Chase. Achievements include reducing provisioning time by 70% through AWS automation and boosting performance by 60% while saving $200K annually. Recognized for implementing a comprehensive data breach response plan cited as exemplary within the company. Google Cloud Associate Engineer certified, skilled in building self-service BI tools that reduced manual effort by 50%. SKILLS
• Programming & Scripting: Python, SQL, Shell scripting, Scala, Java
• Data Analysis & Visualization: pandas, NumPy, Excel, Tableau, Power BI, matplotlib, seaborn, Plotly, Looker Studio
• Cloud & Big Data Technologies: AWS (S3, Lambda, Glue, RDS, EKS, Step Functions), GCP (BigQuery, Cloud Functions, Composer), Azure
(Data Factory, Synapse), Apache Spark, Hadoop, Kafka, Hive
• Data Engineering & Warehousing: Snowflake, Redshift, BigQuery, Delta Lake, Databricks, dbt (Cloud & Core), Teradata
• ETL & Workflow Orchestration: Apache Airflow, AWS Glue, dbt, Informatica, Prefect, Cloud Composer
• Databases: PostgreSQL, MySQL, DynamoDB, MongoDB, Cassandra
• DevOps & Infrastructure as Code: Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, CI/CD pipelines
• Security, Compliance & Governance: IAM, RBAC, data encryption, GDPR, HIPAA, SOC 2, data loss prevention (DLP) EXPERIENCE
JPMorgan Chase & Co. Jan 2024 - Present
Data Analyst
• Architected and managed data pipelines using AWS Glue, Amazon S3, and Apache Airflow; optimized data workflows for 10 TB of daily data, achieving a 40% reduction in processing time.
• Spearheaded the migration of on-premises data infrastructure to AWS cloud services, including Snowflake and Amazon Redshift, which enhanced data query performance by 60% and saved $200K annually.
• Distilled key trends from 20TB+ datasets using SQL and Python, delivering actionable insights that boosted business intelligence and reporting efficiency by 50% across the department.
• Created 20+ interactive dashboards with Tableau and Power BI, providing real-time visibility into customer behavior, resulting in a 15% improvement in customer retention rates within six months.
• Collaborated with the legal department to implement a comprehensive data breach response plan, which was cited by the Chief Legal Officer as one of the best plans in the company.
TJX Companies, Inc. Jul 2019 - Mar 2022
Data Analyst
• Orchestrated migration of legacy data pipelines to a modern AWS infrastructure, reducing data lag by 80% and increased data processing throughput by 5x, enhancing scalability.
• Drove data warehouse migration to Snowflake on AWS and Google BigQuery, resulting in the identification of findings to fix the three biggest causes of reporting inaccuracies.
• Deployed 3 production-ready machine learning models using Python, SQL, and AWS cloud services, resulting in a 15% increase in forecast accuracy and a significant improvement in resource allocation.
• Reduced the reporting backlog by 75% by developing self-service dashboards in Tableau and Looker, empowering stakeholders with real-time analytics and improving data-driven decision-making. PROJECTS
Cloud-Native Sales Analytics Platform
• Designed and deployed an automated sales data pipeline using Cloud Functions and Cloud Composer to orchestrate ingestion from external APIs and Cloud Storage into BigQuery, enabling near real-time analytics.
• Built dynamic Looker Studio dashboards with advanced filters, trendlines, and geo-analysis to visualize product and regional sales insights, improving decision-making for marketing and inventory planning. EDUCATION
• Master of Science in Data Science
University Of Alabama at Birmingham
• Bachelor of Science in Computer Science
NIIT UNIVERSITY
Dec 2023
USA
May 2021
INDIA
CERTIFICATIONS
• Google cloud Associate Engineer
• Data Analytics and Visualization by Accenture