I am a certified Data Engineer with 5+ years of experience building end-to-end data pipelines across Azure and GCP. I specialize in Azure Data Factory, Databricks, Synapse, Snowflake and GCP technologies such as BigQuery, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions. I design ELT frameworks using dbt, PySpark, and SQL, integrate data from APIs and cloud storage, and implement scalable workflows for marketing, analytics, and enterprise reporting. I am a collaborative team member who emphasizes modeling, orchestration, CI/CD, and automated data quality validation. I enjoy delivering cloud-optimized data solutions that empower stakeholders with timely insights. I am committed to continuous learning and applying best practices to drive measurable business outcomes.

Akhil Chitneni

I am a certified Data Engineer with 5+ years of experience building end-to-end data pipelines across Azure and GCP. I specialize in Azure Data Factory, Databricks, Synapse, Snowflake and GCP technologies such as BigQuery, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions. I design ELT frameworks using dbt, PySpark, and SQL, integrate data from APIs and cloud storage, and implement scalable workflows for marketing, analytics, and enterprise reporting. I am a collaborative team member who emphasizes modeling, orchestration, CI/CD, and automated data quality validation. I enjoy delivering cloud-optimized data solutions that empower stakeholders with timely insights. I am committed to continuous learning and applying best practices to drive measurable business outcomes.

Available to hire

I am a certified Data Engineer with 5+ years of experience building end-to-end data pipelines across Azure and GCP. I specialize in Azure Data Factory, Databricks, Synapse, Snowflake and GCP technologies such as BigQuery, Pub/Sub, Cloud Composer (Airflow), and Cloud Functions. I design ELT frameworks using dbt, PySpark, and SQL, integrate data from APIs and cloud storage, and implement scalable workflows for marketing, analytics, and enterprise reporting.

I am a collaborative team member who emphasizes modeling, orchestration, CI/CD, and automated data quality validation. I enjoy delivering cloud-optimized data solutions that empower stakeholders with timely insights. I am committed to continuous learning and applying best practices to drive measurable business outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert

Work Experience

Data Engineer – Measurement & Analytics at Canadian Tire
July 1, 2024 - September 30, 2025
Led the migration of ETL workflows from Domo to Azure Data Factory and Databricks, migrating workloads to more efficient cloud-based infrastructure. Designed and deployed data pipelines in GCP using Cloud Functions, Pub/Sub, and Cloud Composer (Airflow) to ingest and process API-based data. Replaced legacy batch jobs with Airflow DAGs, eliminating manual triggers and log checks and enabling end-to-end visibility into daily marketing and sales data pipelines. Developed modular dbt models transforming raw marketing data into curated business-layer datasets within Snowflake and BigQuery. Automated extraction from Google Analytics, Meta (Facebook Ads), and Criteo using KNIME, and created data marts in Snowflake using dimensional modeling to support Sales and Marketing, boosting BI reporting speed. Implemented end-to-end ETL/ELT processes populating Snowflake data marts leveraging Snowpipe and Streams for near real-time availability. Established dbt test suites and source freshness checks,
Data Engineer at Intact
April 1, 2022 - May 31, 2024
Ingested data from disparate source systems using Azure Data Factory. Executed data validation via SSIS packages and stored procedures. Leveraged Redis for real-time processing and analytics, ingesting data into Azure Data Lake/Storage/SQL/Data Warehouse and processing in Azure Databricks. Implemented Spark Streaming for streaming analytics and integrated Azure Active Directory authentication for Cosmos DB requests. Scheduled data jobs with CRON expressions. Developed Spark applications using PySpark and Spark SQL, and orchestrated complex ETL workflows with Airflow or Luigi. Built Python scripts to automate ETL processes, and coordinated workflows via Apache Oozie. Gained experience with Alteryx, Kafka, and Fivetran for data prep and pipeline automation. Environment included Azure HDInsight, Databricks, CosmosDB, Snowflake, MongoDB, and Kafka.
Data Engineer | ETL Engineer at Pepsico
July 1, 2020 - August 31, 2021
Created data pipelines in Azure Data Factory to extract/transform/load data from Azure SQL, Blob storage, and SQL Data Warehouse, integrating data from multiple sources. Designed databases and platform architectures in Azure Cloud. Prepared dashboards in Power BI and developed Python-based ETL scripts. Demonstrated Agile delivery (Scrum/Kanban) and trained users on analytics capabilities. Built Spark/Scala code for faster data processing and deployed SSRS reports. Worked with SQL Server Integration Services (SSIS) for data transformations, and leveraged Kafka or Flink for real-time streaming solutions.
Data Engineer at HCL
May 1, 2019 - June 30, 2020
Led the Enterprise Insurance data warehouse migration, rewriting data marts and adding new subject areas to enable cross-domain querying. Designed data transfer maps from source systems to the data warehouse, built ETL pipelines to Azure Data Lake, and orchestrated data loading at scale. Developed PySpark-based transformations on Azure HDInsight, wrote shell scripts for monitoring, and used Oozie for Hadoop job orchestration. Implemented Kafka-based real-time streaming and leveraged Alteryx for analytics workflows. Worked with a broad tech stack including AWS and Hadoop ecosystem components to support reporting with Tableau and PowerBI.

Education

PG Diploma in Project Management at Fanshawe College, ON
January 11, 2030 - January 8, 2026

Qualifications

Databricks Certified Data Engineer Professional
January 11, 2030 - January 8, 2026
Microsoft Certified Data Engineer Associate
January 11, 2030 - January 8, 2026
Microsoft Certified Fabric Data Engineer
January 11, 2030 - January 8, 2026
Google Cloud Certified Data Engineer Professional
January 11, 2030 - January 8, 2026
DOMO Certified Data Specialist
January 11, 2030 - January 8, 2026

Industry Experience

Software & Internet, Professional Services, Media & Entertainment