Nov 2024 – Feb 2026 · 1 yr 3 mos · Calgary, Alberta, Canada · On-site

• Designed and delivered enterprise-scale data engineering solutions on AWS supporting large,
• mission-critical data initiatives for CPKC.
• Built and optimized serverless ETL/ELT pipelines for both batch and real-time ingestion
• using AWS Glue, Lambdas, Aurora, API Gateways, Dynamo DB, and S3 ensuring scalable
• orchestration and efficient data transformation.
• Architected and deployed event-driven and streaming data pipelines leveraging Amazon
• Kinesis for near real-time processing of Amazon Connect call data.
• Developed and maintained CI/CD pipelines using AWS CodePipeline, CodeBuild, and
• CodeDeploy, enabling automated testing, deployment, and reliable delivery of cloud-native
• applications.
• Implemented Infrastructure as Code (IaC) using AWS CloudFormation, with working knowledge
• of Terraform, to automate provisioning and standardize cloud environments.
• Automated Salesforce data backups to Amazon S3, ensuring data integrity, availability, and
• compliance with organizational and regulatory requirements.
• Delivered analytics and reporting solutions using AWS S3, Glue, Athena,Dynamo DB generating
• actionable insights through Power BI dashboards.
• Applied AWS security best practices, including IAM role design, VPC networking, encryption,
• and compliance controls, to ensure high availability and secure cloud architectures.
• Demonstrated strong Python expertise for data engineering, automation, and AWS integrations,
• while collaborating with cross-functional teams to optimize architecture, performance, and system
• reliability.

Sep 2022 – Nov 2024 · 2 yrs 2 mos

• Developed end-to-end API pipelines using Python to extract data from major e-retail platforms
• such as Amazon, supporting L’Oréal’s digital commerce initiatives.
• Stored and processed large volumes of data in Google Cloud Platform (GCP), ensuring
• scalability and efficiency for advanced analytics.
• Led a team to identify and resolve technical issues, ensuring smooth project delivery with minimal
• disruptions.
• Successfully scaled the developed product to multiple global markets, expanding L’Oréal’s datadriven
• capabilities across regions.
• Leveraged RPA and API techniques to extract data from multiple e-commerce sources for one of
• the largest global retailers.
• Integrated Amazon retail data into Google BigQuery, enabling centralized reporting and
• advanced analytics for marketing and sales teams.
• Implemented infrastructure-as-code (IaC) using Terraform to provision and manage GCP
• resources, ensuring consistent and automated deployments.
• Designed and implemented ETL pipelines using Python for seamless ingestion, transformation,
• and integration of e-commerce data.
• Developed automation scripts in Python to streamline data workflows, reducing manual effort
• and accelerating pipeline execution.

Jul 2022 – Sep 2022 · 2 mos

Nov 2020 – Sep 2022 · 1 yr 10 mos

• Automated ERetail websites using python and selenium to extract sales and demand insights.
• Created web APIs to see data insights using python and flask.
• Created RPA tools for web scrapping and reporting extracted data.
• Deployed API's on AWS servers and used RDS query for data extraction.

Feb 2019 – Nov 2020 · 1 yr 9 mos

• Created data insight tools for clients in banking sectors to resolve loan loss mitigation and loan repayment problems using Machine learning models and data science.
• Created application for government bodies to classify taxpayers based on tax repayment history to improve tax collection and repayment.

Nov 2018 – Feb 2019 · 3 mos

• Completed training in python, Java, angular and database from Infosys Global Education Center at Mysuru.

Dec 2017 – Feb 2018 · 2 mos · Remote