Open to opportunities

Inderjit Singh

@inderjitsingh

Data engineer and applied data science professional building scalable ETL pipelines and optimizing SQL/Spark for analytics impact.

Canada

Message

What I'm looking for

I’m looking for a data engineering role where I can build reliable, scalable ETL pipelines on cloud platforms, strengthen data quality, and partner with analytics teams to deliver fast, trustworthy reporting and insights.

I’m a data engineering-focused professional with experience designing and maintaining production data pipelines for high-volume analytics and reporting needs. In my recent co-op role, I optimized SQL and Spark transformations and data models (partitioning, pruning, query tuning) and implemented production data quality checks to reduce recurring issues and manual validation.

Previously, as a Senior Associate, I engineered back-end SQL and PySpark solutions across Databricks and AWS S3, built ETL pipelines and analytics datasets using Airflow and dbt, and supported enterprise cloud migration from on-prem to AWS (S3, Lambda, Glue). I also bring a software engineering foundation from building enterprise Angular and Java Spring Boot components, and I enjoy hands-on ML through projects like a GPT/autograd implementation and music emotion classification.

Experience

Work history, roles, and key accomplishments

Current

Data Engineering Co-op

Current

ICBC

Sep 2025 - Present (11 months)

Designed and maintained scalable production data pipelines for high-volume records supporting analytics and financial reporting. Optimized SQL and Apache Spark transformations to reduce processing time by 15–25% and turnaround by 20–30%, while adding production data quality checks and supporting migration of pipelines to AWS using S3, Lambda, and Glue.

SQL Apache Spark Data Pipelines Data Modeling Data Quality Partitioning Pruning S3 AWS Lambda AWS Glue Cloud Migration

Senior Associate

Axtria - Ingenous Insights

Apr 2022 - Jul 2024 (2 years 3 months)

Engineered back-end SQL and PySpark solutions across Databricks and AWS S3 to reduce reporting delays by 30%. Built and maintained production ETL pipelines and analytics datasets using Airflow and dbt for dashboarding and reporting.

SQL PySpark Databricks S3 ETL Airflow DBT Datasets

System Engineer

Infosys Ltd

Sep 2019 - Apr 2022 (2 years 7 months)

Developed enterprise-scale componentized Angular 9 applications by implementing RxJS-based HTTP requests. Designed RESTful web services using Java Spring Boot.

RxJS Java Spring Boot RESTful Web Services