Looking for a job

Bhawesh yeole

@bhaweshyeole

Data Engineer at Fugetron Corporation, embedded at Riot Games, who built an eSports platform processing 50M+ daily events.

India

Message

At Fugetron Corporation, I work as a client-embedded data engineer at Riot Games and Alteryx, building production data pipelines and platforms. For Riot Games, I engineered an eSports data platform for Valorant, LoL, and TFT that ingests 50M+ in-game events daily.

I also developed a financial data platform that automates invoice processing and approval workflows, reducing manual errors by 40%. At Alteryx, I contributed to MMM and MTA model development, helping inform quarterly media spend.

Experience

Work history, roles, and key accomplishments

Current

Associate Data Engineer

Current

Fugetron Corporation

Sep 2025 - Present (1 year 1 month)

Client-embedded data engineer at Riot Games and Alteryx, designing and delivering production-grade pipelines, financial data platforms, and warehouse infrastructure. Owned end-to-end pipeline development, warehouse design, and ML model engineering in an agile environment.

Python PySpark Kafka Snowflake Airflow DBT AWS PostgreSQL Tableau Debezium Spark Structured Streaming Delta Lake GraphFrames SparkML Alteryx

Data Science Intern

QSpiders

Feb 2025 - Sep 2025 (7 months)

Built and validated ML classification and regression models using scikit-learn with feature engineering, EDA, Pandas, NumPy, and Matplotlib.

scikit learn Pandas NumPy Matplotlib Feature Engineering EDA Machine Learning

SMO Intern / Team Lead

TechAnalogy

Mar 2024 - Jul 2024 (4 months)

Led a remote team of 30+ members on data generation tasks, managing onboarding, deliverable tracking, and milestone completion.

Team Leadership Project Management Data Generation Remote Collaboration

Education

Degrees, certifications, and relevant coursework

Rajiv Gandhi Institute of Technology

Bachelor of Engineering, Information Technology

2021 - 2025

Grade: 8.50/10

Activities and societies: Honors Program in AI & Machine Learning (2023-2025) with 80%

Pursued a Bachelor of Engineering in Information Technology, achieving a CGPA of 8.50/10. Completed an Honors Program in AI & Machine Learning from 2023 to 2025 with 80%.