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I'm Jatin Kumar, a Senior Data Engineer based in Toronto with 6+ years of experience in Big Data, cloud computing, and scalable data pipelines. I specialize in Azure and AWS, Python, Spark, and Hadoop ecosystems, delivering ETL/ELT solutions, data platforms, and analytics that support business decisions. I have hands-on experience with Informatica, Talend, Snowflake, Databricks, Kafka, and Airflow; I design end-to-end data workflows, implement real-time streaming and batch processing, and deploy ML models with SageMaker. I thrive in collaborative environments and enjoy building robust, scalable data architectures that enable fast, reliable insights.…I'm Jatin Kumar, a Senior Data Engineer based in Toronto with 6+ years of experience in Big Data, cloud computing, and scalable data pipelines. I specialize in Azure and AWS, Python, Spark, and Hadoop ecosystems, delivering ETL/ELT solutions, data platforms, and analytics that support business decisions. I have hands-on experience with Informatica, Talend, Snowflake, Databricks, Kafka, and Airflow; I design end-to-end data workflows, implement real-time streaming and batch processing, and deploy ML models with SageMaker. I thrive in collaborative environments and enjoy building robust, scalable data architectures that enable fast, reliable insights.

Jatin Kumar

Data Scientist, Full Stack Developer, Back-End Developer, +4

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I'm Jatin Kumar, a Senior Data Engineer based in Toronto with 6+ years of experience in Big Data, cloud computing, and scalable data pipelines. I specialize in Azure and AWS, Python, Spark, and Hadoop ecosystems, delivering ETL/ELT solutions, data platforms, and analytics that support business decisions. I have hands-on experience with Informatica, Talend, Snowflake, Databricks, Kafka, and Airflow; I design end-to-end data workflows, implement real-time streaming and batch processing, and deploy ML models with SageMaker. I thrive in collaborative environments and enjoy building robust, scalable data architectures that enable fast, reliable insights.…I'm Jatin Kumar, a Senior Data Engineer based in Toronto with 6+ years of experience in Big Data, cloud computing, and scalable data pipelines. I specialize in Azure and AWS, Python, Spark, and Hadoop ecosystems, delivering ETL/ELT solutions, data platforms, and analytics that support business decisions. I have hands-on experience with Informatica, Talend, Snowflake, Databricks, Kafka, and Airflow; I design end-to-end data workflows, implement real-time streaming and batch processing, and deploy ML models with SageMaker. I thrive in collaborative environments and enjoy building robust, scalable data architectures that enable fast, reliable insights.

Available to hire

I’m Jatin Kumar, a Senior Data Engineer based in Toronto with 6+ years of experience in Big Data, cloud computing, and scalable data pipelines. I specialize in Azure and AWS, Python, Spark, and Hadoop ecosystems, delivering ETL/ELT solutions, data platforms, and analytics that support business decisions.

I have hands-on experience with Informatica, Talend, Snowflake, Databricks, Kafka, and Airflow; I design end-to-end data workflows, implement real-time streaming and batch processing, and deploy ML models with SageMaker. I thrive in collaborative environments and enjoy building robust, scalable data architectures that enable fast, reliable insights.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Sr. Data Engineer at Ford

December 1, 2023 - November 1, 2025

Designed and implemented scalable AWS-based data solutions for large-scale applications, focusing on optimized cloud-based data processing, integration, and analytics. Built end-to-end ETL workflows using AWS Glue, Lambda, and Step Functions; optimized Snowflake-based data warehousing; leveraged Informatica PowerCenter for ETL; automated ETL with Python; deployed Hadoop ecosystem components on AWS EMR for batch processing; executed Spark jobs on EMR; built ML pipelines with SageMaker; designed Snowflake schemas with clustering; implemented Kafka-based messaging and real-time data streaming; managed Unity Catalog in Databricks for governance; implemented IaC with Terraform; established CI/CD pipelines with Jenkins; collaborated with analysts, data scientists and IT to deliver data-driven insights.

Data Engineer at Wealth Simple

December 1, 2023 - December 1, 2023

Designed and deployed robust data pipelines leveraging AWS services (Glue, Lambda) and Snowflake integration for ELT/ETL workloads. Ingested structured and semi-structured data from APIs, migrated legacy Hadoop pipelines to Snowflake (Snowpipe), integrated Databricks, and built real-time streaming ETL with PySpark and Kafka. Implemented SageMaker-based ML pipelines and feature stores; established CI/CD with Jenkins; deployed containerized ML models with SageMaker and Fargate; collaborated with stakeholders to enable scalable analytics and ML workflows.

Data Engineer at TCS

March 1, 2020 - March 1, 2020

Developed and maintained ETL pipelines using Python and SQL; designed complex SQL queries for data extraction; integrated data from relational databases and flat files into data warehouses; managed Hadoop ecosystem (Hive, Pig, HBase); developed MapReduce and PySpark transformations; built Snowflake data models and dashboards with Tableau/Power BI; supported data governance and QA; contributed to data migration projects and data quality checks; collaborated with cross-functional teams and used Git for version control.

Data Engineer at Wealth Simple

March 1, 2020 - December 1, 2023

Designed and deployed scalable data engineering frameworks on AWS; built ETL/ELT pipelines with AWS Glue and Lambda for ingestion and transformation; loaded data into Snowflake via Snowpipe; integrated Snowflake with Databricks for analytics. Developed Python scripts to extract data from APIs and orchestrated both real-time and batch processing with Spark and Kafka. Migrated Hadoop-based pipelines to Snowflake and deployed containerized ML models with SageMaker and AWS Fargate. Implemented CI/CD pipelines with Jenkins, tested ETL processes, and managed infrastructure with Terraform; built feature stores in Databricks and integrated with Azure Cosmos DB for ML features.

Data Engineer at TCS

September 1, 2018 - March 1, 2020

Developed ETL pipelines using Python and SQL; built data models in Snowflake; installed and maintained Hadoop clusters (Hive, Pig, HBase); designed and optimized MapReduce jobs; performed data governance and validation; migrated data across relational and NoSQL systems; contributed to data warehouse design and reporting.