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Partheeban Bharati

@partheebanbharati

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Data Engineer with expertise in cloud solutions and data analysis.

Canada

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What I'm looking for

I am looking for a collaborative environment that values innovation and offers opportunities for professional growth.

I am a dedicated Data Engineer with a strong background in designing and implementing data solutions that enhance operational efficiency and data integrity. My recent experience at ThinkCX Technologies involved creating a spike and outage detection system that significantly improved data continuity across a high-volume Redshift pipeline. I take pride in my ability to lead the development of quality assurance pipelines that generate over 600 automated alerts daily, ensuring that anomalies are flagged before they reach clients.

As a Co-Founder and Software Engineer at Jabbar Web Development Ltd., I translated complex stakeholder needs into actionable technical specifications, contributing to a successful grant proposal. My technical expertise includes architecting platforms using AWS CDK and deploying multilingual applications that support automated CI/CD processes. I have also worked on various projects, including automating DOI generation at the University of British Columbia, which drastically reduced publication times and improved user experience for researchers.

Experience

Work history, roles, and key accomplishments

Current

Co-Founder / Software Engineer

Current

Jabbar Web Development Ltd.

Sep 2024 - Present (10 months)

Translated stakeholder needs from academic collaborators into technical specifications, contributing to a successful grant proposal and long-term platform vision. Architected and deployed the platform using AWS CDK, GitHub Actions, a PostgreSQL backend, and a multilingual React frontend, enabling automated CI/CD and production-level reliability.

AWS CDK EC2 RDS S3 GitHub Actions PostgreSQL React CI CD Stakeholder Management

Data Engineer

ThinkCX Technologies Inc.

Jan 2025 - Present (6 months)

Designed and implemented a spike and outage detection system to identify and redistribute multi-day data spikes, enhancing data continuity and accuracy across a high-volume Redshift pipeline. Led development of a QA pipeline leveraging statistical benchmarks, generating over 600 automated alerts daily to flag anomalies before client exposure. Collaborated cross-functionally to adapt the QA pipelin

Redshift Data Pipelines Statistical Analysis QA Anomaly Detection Data Classification Signal Enrichment

Software Engineer

The Database of Religious History, University of British Col

Jun 2023 - Present (2 years 1 month)

Automated DOI generation by integrating with the Zenodo REST API, reducing publication time from six months to real-time. Built a language tagging system with over 20,000 labels, supporting quantitative analysis of language use across religious contexts and regions. Designed and implemented a migration from a custom React frontend to Wagtail CMS, improving maintainability and enabling dynamic cont

REST APIs Zenodo React Quantitative Analysis UX Data Migration Content Management Systems Frontend Development

Software Development Engineer Intern

Amazon Inc.

May 2022 - Present (3 years 2 months)

Built a production-grade Java API using AWS Lambda, API Gateway, DynamoDB, Cognito, and SES to centralize feedback on internal tools, reducing development time by over six weeks per project across multiple teams. Created reusable CI/CD infrastructure with AWS CDK, streamlining deployment workflows for multiple engineering teams.

Java AWS Lambda API Gateway DynamoDB Cognito SES AWS CDK CI CD API Development Internal Tools

Student Programmer

FLS Water Price Database, University of British Columbia

Feb 2022 - Present (3 years 5 months)

Developed a full-stack data collection platform using React, Node.js/Express, and PostgreSQL, served via Nginx. This platform enabled global crowdsourcing of water pricing data.