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Hi, I’m Pruthvik Ravikumar, a data engineer based in Los Angeles with 4+ years of experience building scalable ETL/ELT pipelines, real-time streaming workflows, and optimized data warehouses (Snowflake, Redshift). I’m proficient in SQL, Python, Spark, Airflow, and BI tools (Power BI, Tableau), with a strong track record of delivering data-driven insights for fintech, SaaS, and EV domains. I thrive on turning complex data into clear, actionable business outcomes and enjoy collaborating with product, analytics, and engineering teams to drive value. I’m actively exploring new opportunities and enjoy designing robust data platforms, automating quality checks, and streamlining deployment processes. I value well-documented data models, reproducible pipelines, and cross-functional teamwork that accelerates decision-making and impact across the organization.…Hi, I’m Pruthvik Ravikumar, a data engineer based in Los Angeles with 4+ years of experience building scalable ETL/ELT pipelines, real-time streaming workflows, and optimized data warehouses (Snowflake, Redshift). I’m proficient in SQL, Python, Spark, Airflow, and BI tools (Power BI, Tableau), with a strong track record of delivering data-driven insights for fintech, SaaS, and EV domains. I thrive on turning complex data into clear, actionable business outcomes and enjoy collaborating with product, analytics, and engineering teams to drive value. I’m actively exploring new opportunities and enjoy designing robust data platforms, automating quality checks, and streamlining deployment processes. I value well-documented data models, reproducible pipelines, and cross-functional teamwork that accelerates decision-making and impact across the organization.

Pruthvik Ravikumar

Data Scientist, Data Analyst, Web Developer, +1

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Hi, I’m Pruthvik Ravikumar, a data engineer based in Los Angeles with 4+ years of experience building scalable ETL/ELT pipelines, real-time streaming workflows, and optimized data warehouses (Snowflake, Redshift). I’m proficient in SQL, Python, Spark, Airflow, and BI tools (Power BI, Tableau), with a strong track record of delivering data-driven insights for fintech, SaaS, and EV domains. I thrive on turning complex data into clear, actionable business outcomes and enjoy collaborating with product, analytics, and engineering teams to drive value. I’m actively exploring new opportunities and enjoy designing robust data platforms, automating quality checks, and streamlining deployment processes. I value well-documented data models, reproducible pipelines, and cross-functional teamwork that accelerates decision-making and impact across the organization.…Hi, I’m Pruthvik Ravikumar, a data engineer based in Los Angeles with 4+ years of experience building scalable ETL/ELT pipelines, real-time streaming workflows, and optimized data warehouses (Snowflake, Redshift). I’m proficient in SQL, Python, Spark, Airflow, and BI tools (Power BI, Tableau), with a strong track record of delivering data-driven insights for fintech, SaaS, and EV domains. I thrive on turning complex data into clear, actionable business outcomes and enjoy collaborating with product, analytics, and engineering teams to drive value. I’m actively exploring new opportunities and enjoy designing robust data platforms, automating quality checks, and streamlining deployment processes. I value well-documented data models, reproducible pipelines, and cross-functional teamwork that accelerates decision-making and impact across the organization.

Available to hire

Hi, I’m Pruthvik Ravikumar, a data engineer based in Los Angeles with 4+ years of experience building scalable ETL/ELT pipelines, real-time streaming workflows, and optimized data warehouses (Snowflake, Redshift). I’m proficient in SQL, Python, Spark, Airflow, and BI tools (Power BI, Tableau), with a strong track record of delivering data-driven insights for fintech, SaaS, and EV domains. I thrive on turning complex data into clear, actionable business outcomes and enjoy collaborating with product, analytics, and engineering teams to drive value.

I’m actively exploring new opportunities and enjoy designing robust data platforms, automating quality checks, and streamlining deployment processes. I value well-documented data models, reproducible pipelines, and cross-functional teamwork that accelerates decision-making and impact across the organization.

Skills

Experience Level

Expert

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Work Experience

Data Engineer at OINC

December 1, 2024 - November 7, 2025

Dec 2024 – Present | Palo Alto, CA - Implemented Delta Load from Salesforce to Snowflake, processing only changed records to cut run times and preserve historical context. - Built incremental data pipelines with Dagster, focusing on changed records rather than full reloads, reducing processing time and storage needs. - Automated data validation and anomaly detection in Python (Pandas, Scikit-Learn), cutting incident resolution time by ~40%. - Managed MongoDB and PostgreSQL databases for OLT P workloads, ensuring high availability (99.95% uptime) and sub-10ms query responses. - Implemented SCD Type 2 on key dimensions to preserve history, enabling accurate reporting and change tracking. - Containerized data services with Docker & Kubernetes, using Helm for configuration management and auto-scaling to streamline deployments and improve resource utilization.

Data Engineer at Advanced Charging Technologies

September 1, 2024 - September 1, 2024

Sep 2023 – Sep 2024 | Anaheim, CA - ETL pipeline optimization: shrank ETL runtime from 4 hours to 30 minutes by redesigning Airflow DAGs, implementing task-level retries, and optimized dependencies for 1.5M+ fork-lift telemetry and charging records. - Data Warehouse performance tuning: redesigned Redshift schemas, distribution keys, sorts, and materialized views, reducing report generation time and enabling faster ad-hoc analyses. - Real-time streaming & telemetry pipelines: built Kafka + Airflow streaming pipelines to capture fork-lift battery telemetry and charging session events at sub-minute intervals for near real-time insights. - Data Quality & Anomaly Detection: implemented automated data quality framework using Great Expectations with validations across 50+ critical pipelines, improving data reliability and reducing downtime. - Scalable Infrastructure & Business Analytics: containerized data services on Kubernetes with Docker and Helm, enabling scalable deployments and im

Data Engineer at StoneX Group Inc.

August 1, 2023 - August 1, 2023

Aug 2022 – Aug 2023 | Bengaluru, India - Data pipelines for business: built ETL batch and intraday pipelines using Apache Airflow on AWS with Azure infrastructure, processing 3TB+ of raw data from multiple sources (Oracle, APIs, Salesforce) for risk and revenue teams. - Real-time data ingestion: designed a real-time pipeline to process semi-structured data by integrating 150 million raw records from 30+ sources using Apache Kafka and PySpark. - Query optimization: redesigned Redshift/PostgreSQL schemas and queries with distribution keys, sorts, and materialized views to shorten report times and enable faster risk and revenue analyses. - Secure data access, APIs, and quality: implemented secure RESTful APIs with role-based access, integrated PD/S to VD S endpoints, and established a data quality framework with automated SQL tests. - Data migration and documentation: led migration from Oracle to Azure Synapse Analytics, documenting processes in Confluence and tracking progress with

Junior Data Engineer at Ember Enterprises

August 1, 2022 - August 1, 2022

Aug 2021 – Aug 2022 | Bengaluru, India - Scalable ETL pipelines and real-time analytics: designed scalable, automated data pipelines and a real-time analytics platform to unify test and production data, improving reliability and decision speed. - Unified data platform: established end-to-end data infrastructure to support QA, R&D, and business teams, enabling quicker cross-functional insights. - Collaboration and impact: worked with cross-functional teams to translate data into actionable dashboards and reports for stakeholders.