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I’ve been working as a Data Engineer for a little over SEVEN years now. Currently, I’m at Robots and Pencils in Calgary, where I design and build cloud-native data solutions using AWS — things like Glue, Redshift, Lambda, and Terraform for automation. Before that, I worked at Teranet and Shoppers Drug Mart, focusing on ETL development, data migrations, and building data pipelines with Python, Spark, and Airflow. Over time, I’ve moved from pure ETL work to architecting end-to-end data platforms that support analytics, machine learning, and reporting.…I’ve been working as a Data Engineer for a little over SEVEN years now. Currently, I’m at Robots and Pencils in Calgary, where I design and build cloud-native data solutions using AWS — things like Glue, Redshift, Lambda, and Terraform for automation. Before that, I worked at Teranet and Shoppers Drug Mart, focusing on ETL development, data migrations, and building data pipelines with Python, Spark, and Airflow. Over time, I’ve moved from pure ETL work to architecting end-to-end data platforms that support analytics, machine learning, and reporting.

Devender Reddy

Data Scientist, Data Analyst, Full Stack Developer, +2

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I’ve been working as a Data Engineer for a little over SEVEN years now. Currently, I’m at Robots and Pencils in Calgary, where I design and build cloud-native data solutions using AWS — things like Glue, Redshift, Lambda, and Terraform for automation. Before that, I worked at Teranet and Shoppers Drug Mart, focusing on ETL development, data migrations, and building data pipelines with Python, Spark, and Airflow. Over time, I’ve moved from pure ETL work to architecting end-to-end data platforms that support analytics, machine learning, and reporting.…I’ve been working as a Data Engineer for a little over SEVEN years now. Currently, I’m at Robots and Pencils in Calgary, where I design and build cloud-native data solutions using AWS — things like Glue, Redshift, Lambda, and Terraform for automation. Before that, I worked at Teranet and Shoppers Drug Mart, focusing on ETL development, data migrations, and building data pipelines with Python, Spark, and Airflow. Over time, I’ve moved from pure ETL work to architecting end-to-end data platforms that support analytics, machine learning, and reporting.

Available to hire

I’ve been working as a Data Engineer for a little over SEVEN years now. Currently, I’m at Robots and Pencils in Calgary, where I design and build cloud-native data solutions using AWS — things like Glue, Redshift, Lambda, and Terraform for automation.
Before that, I worked at Teranet and Shoppers Drug Mart, focusing on ETL development, data migrations, and building data pipelines with Python, Spark, and Airflow. Over time, I’ve moved from pure ETL work to architecting end-to-end data platforms that support analytics, machine learning, and reporting.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Data Engineer at Robots and Pencils

January 1, 2023 - November 7, 2025

Involved in all stages of the software development life cycle and designed/deployed multi-tier applications on AWS using EC2, Route53, S3, RDS, DynamoDB, SNS, SQS, and IAM with CloudFormation, focusing on high availability, fault tolerance, and auto-scaling. Transferred data from S3 to Redshift using Informatica. Built serverless ETL pipelines with AWS Lambda, enabling writes to the Glue Catalog and query via Athena. Used AWS Glue for data transformation and cleansing, with CloudWatch monitoring and logging for Lambda, Glue Jobs, and EC2. Designed dimensional data marts (star and snowflake schemas). Leveraged Spark (Scala) APIs for distributed data processing. Implemented data transformations from Redshift to Snowflake S3 targets via Python/SQL in Databricks notebooks, and orchestrated pipelines using core Spark, Hive, Spark SQL, and Python.

Cloud Python Developer / Data Engineer at Teranet

December 1, 2022 - December 1, 2022

Developed and maintained Python applications interfacing with RDS databases, ensuring data integrity and security. Applied machine learning algorithms (decision tree, logistic regression, gradient boosting) using scikit-learn for predictive modeling. Implemented churn feature normalization in Airflow, and built/optimized Databricks pipelines (PySpark/SQL) for actuarial/financial reporting, integrating with Azure SQL Server and Oracle. Managed data processing with EC2 Cron jobs, Snowflake, Databricks, and Teradata; migrated ETLs from MS SQL Server to Azure Databricks; created Spark clusters with high concurrency. Established CI/CD pipelines using VSTS/Azure DevOps; authored Databricks notebooks with SQL and Python; migrated on-prem ETLs to Azure Data Factory and Databricks; monitored clusters and tuned performance. Built Tableau dashboards and integrated NumPy into data science workflows; managed Oracle and PostgreSQL databases; moved data between Azure Blob and Linux servers; authored

Python Developer at Shoppers Drug Mart

June 1, 2021 - June 1, 2021

Migrated data/models from SQL Server to Oracle 10g; automated diverse workflows using Python and Unix shell scripts; implemented unit/functional tests with unittest and PyTest. Wrote and executed MySQL queries from Python; collaborated on Scala-based services; designed and troubleshot scheduled ETL workflows with Control-M; developed Sqoop scripts for CDC between new and existing RDBMS data; created server-side Python templates for Linux configurations; used PHP on LAMP for data analytics and built dashboards with Python, Pandas, and JS; developed Django forms to capture online user data and implemented tests with PyTest.

Data Analyst / Python Engineer at CTS

January 1, 2020 - January 1, 2020

Designed dynamic, multi-browser web pages using HTML, CSS, jQuery, AngularJS and JavaScript; implemented high-availability client-server architecture. Conducted requirements gathering and analysis with business/systems stakeholders. Performed ETL using Informatica PowerCenter; implemented data profiling and data quality improvements to cleanse and consolidate data for data warehousing. Developed PL/SQL functions, views, stored procedures, and triggers to support data processing and reporting.