Diligent Data Engineer with robust background in data engineering and proven ability to design and implement complex data pipelines. Successfully contributed to optimizing data architecture and enhancing data processing efficiencies. Demonstrated expertise in big data technologies and proficiency in Python and SQL.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Senior Data Engineer
Brainlabs
10.2023 - Current
Led end-to-end data engineering projects for enterprise clients including adidas, Microsoft, and Capital One - from ETL design and API integration to visualization and advanced analytics.
Built and optimized scalable pipelines using GCP DataProc, BigQuery, Cloud Functions, and Pub/Sub, enabling high-performance data processing across multi-terabyte workflows.
Reduced monthly GCP costs by 20–50% across multiple projects by optimizing BigQuery query patterns, partitioning/clustering strategies, and implementing Cloud Storage lifecycle policies.
Designed robust data models and warehouse structures to support analytics, dashboarding, and automated reporting, improving query performance and downstream data quality.
Implemented real-time ingestion and monitoring solutions with Pub/Sub, Slack API alerts, and Cloud Monitoring, improving pipeline reliability and reducing incident resolution time.
Partnered with SEO, analytics, and product teams to integrate and normalize XML/JSON data from crawlers and third-party APIs, increasing reporting accuracy and business insight depth.
Standardized data quality validation and governance practices, improving SLA adherence and reducing data discrepancies across client deliverables by over 30%.
Mentored and led a junior engineer, overseeing project execution, automation development, and onboarding to GCP best practices.
Data Engineer
Brainlabs(formerly Medianet)
09.2021 - 09.2023
Engineered and automated ETL/ELT pipelines on GCP using Cloud Functions, Pub/Sub, BigQuery, Cloud Storage, and VM instances to support large-scale marketing and analytics workflows.
Developed robust batch and streaming ingestion frameworks integrating data from Google Marketing Platform, Salesforce, Facebook Ads, Adobe Analytics, and Microsoft Ads into unified reporting layers.
Migrated on-premise data pipelines and scripts to GCP-native automations, reducing operational overhead and improving scalability.
Implemented real-time monitoring and alerting with Slack notifications and custom logging, improving pipeline reliability and incident response by 30%.
Built and maintained interactive dashboards in Looker Studio and Power BI, increasing stakeholder reporting efficiency by 50%.
Standardized data governance and activation workflows across teams, improving data quality and accelerating delivery timelines.
Optimized BigQuery performance through advanced query tuning, schema redesign, and partitioning strategies, cutting query costs and latency by 25%
Teaching Assistant
University of Waterloo
09.2019 - 12.2019
Delivered academic support sessions via UW Learn and Skype, clarifying data analytics concepts.
Graded assignments and exams through Crowdmark, ensuring rubric-based evaluation for 50+ students.
Authored detailed answer keys and marking rubrics, improving feedback turnaround.