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Kartik Patel

@kartikpatel4

Senior Data Engineer at Deloitte building Snowflake data models and ML pipelines that improved forecasting accuracy by 25%.

Canada

Message

At Deloitte, I designed Snowflake dimensional models that improved historical tracking and demand forecasting accuracy by 25%. I also built Databricks, MLflow, and AWS SageMaker pipelines that reduced model deployment time by 40%.

At Ford, I designed an AWS data lake that centralized 200+ TB of financial data for real-time and batch analytics. Earlier at Capgemini, I developed data integration and warehouse solutions for banking and financial operations.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Deloitte

Oct 2024 - Present (1 year 11 months)

Implemented CDC-based data pipelines using AWS DMS and Snowflake Streams, designed dimensional data models, and built end-to-end ML pipelines with Databricks and MLflow. Managed multi-cloud data platforms and ensured data security and compliance.

AWS DMS Snowflake Databricks MLFlow AWS Sagemaker GCP Azure PySpark SQL Data Modeling Data Lakehouse Delta Lake CI CD Terraform Docker Kubernetes Power BI Tableau

Data Engineer

Ford

Apr 2022 - Sep 2024 (2 years 5 months)

Designed and implemented scalable AWS-based data lake architecture, built ETL/ELT pipelines, and developed real-time streaming solutions. Optimized Spark workloads and implemented DataOps practices to improve performance and reduce costs.

AWS S3 Snowflake Redshift AWS Glue PySpark Databricks EMR Kafka GCP BigQuery Dataflow Dataproc Azure Data Factory Azure Databricks Delta Lake Jenkins Gitlab CI AWS CodePipeline Terraform Docker Kubernetes QuickSight IAM KMS

Data Warehouse Developer

Capgemini

Aug 2020 - Mar 2022 (1 year 7 months)

Led optimization initiatives for ETL workflows and database processes, developed ETL/ELT pipelines using Azure Data Factory, and designed AWS cloud infrastructure. Coordinated project timelines and resolved data quality issues for banking compliance projects.