Vikram Prashar

Available for full-time roles

Vikram
Prashar

I turn multi-month manual processes into five-click operations. Full Stack Software Developer

Portrait of Vikram Prashar

Currently

Data Engineer — Gathering data-driven insights for executive leadership.

Since 2025

Programming Languages and Tools in my Repertoire

Python
Java
JavaScript
Git
SQL
TensorFlow
PyTorch
Keras
Airflow
Excel

Performance Metrics

10 Years

of Coding Exposure

Yes, really! I have been coding since high school!

5 click

Data Pipelines

I have turned multiple projects from a three-month cycle to one screen and 5 clicks.

+46

Performance Metrics

Generated and maintained ETL pipelines for contractor dashboards.

20,000+

Lines of Code YTD

Written over 20,000 non-AI generated lines of code in 2026.

Recent Projects

+12 shipped

Voice Powered Tesla Control

Currently working on a voice-controlled interface for using Google Assistant in Tesla vehicles.

  • CLI Tool
  • Python

PM ELT Pipeline

Replaced a weekly spreadsheet ritual with a 2 click operation that is reliable and is documented for newer employees.

  • MySQL
  • Alteryx
  • VBA

Experience

2025 — now

Data Engineer (Reporting and Analytics) · Hydro One

  • Built automated data pipelines and analytics solutions in Python and SQL for operational reporting, improving delivery efficiency by 85% and increasing VP/Director+ access to actionable insights
  • Designed 7+ enhancements to Python-based automation scripts and SQL queries for data transformation and file manipulation to support load procedures for dashboard visualizations in PowerBI
  • Demonstrated ability to analyze complex data and present findings clearly to support daily stakeholder activities related to Workforce Planning, Budget Planning and Forecasting, and Supply Chain trends

2023 — 2024

Software Engineer (Streetlighting Operations) · Toronto Hydro

  • Developed automated data pipelines for data ETL and reporting in Apache Airflow, Python, MySQL, and Git, driving over $50,000 in annual cost savings
  • Built 30+ operational reporting metrics and data visualizations in Python and MySQL, improving decision-making efficiency by 50% and reducing project duration by 25%
  • Implemented 2 relational database schemas to streamline ETL pipeline sub-processes and support daily workflow orchestration across streetlighting operations