Kartik Jadhav

About Kartik Jadhav

Senior Data Engineer and Analytics Engineer with 7+ years of experience building scalable cloud architectures, optimizing ETL pipelines, and driving data analytics for decision-making. Proficient in AWS, Azure, Databricks, Snowflake, DBT and Google Cloud (GCP) with expertise in Python, SQL, and PySpark. Skilled in implementing end-to-end CI/CD pipelines using Infrastructure as Code (IaC) practices with tools like CloudFormation, Terraform, Jenkins, and CodePipeline to streamline automation and deployment.My expertise includes developing ETL pipelines using AWS Glue, Lambda, S3, Redshift, Athena, and CloudFormation, ensuring robust data governance and security compliance. I’ve also worked with Azure Data Factory, Azure Synapse, and Azure Databricks to automate data flows and deploy real-time analytics dashboards in Power BI and Tableau, covering areas like finance, supply chain, and sales analytics.On Google Cloud Platform (GCP), I’ve integrated BigQuery, Dataflow, and Terraform for scalable data warehousing and real-time processing, ensuring secure, efficient data pipelines. I’ve developed data visualizations using AWS Quicksight, Tableau, and Power BI, and implemented data validation, performance monitoring, and root cause analysis using AWS CloudWatch and Databricks monitoring. In collaboration with product teams and data scientists, I’ve delivered high-impact solutions, improving reporting accuracy by 35% and reducing costs by 40% for IoT data processing. With proficiency in agile methodologies, Git, CI/CD tools like CodePipeline and Jenkins, and automation, I consistently drive data-driven decision-making and scalable cloud-based solutions.I\'m eager to connect for data engineering, cloud architecture, and analytics roles. Let’s build innovative data-driven systems together!SOFTWARE SKILLS Programming Languages: Python, Java, SQL, Scala, PySpark, Shell Scripting, C, C++, JavaScriptCloud Platforms: AWS (S3, Glue, Redshift, Lambda, EC2, RDS, CloudFormation, SAM, DynamoDB), MS Azure (Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Functions, Event Hub), Databricks. GCP, Snowflake, DBTDatabases: SQL Server, PostgreSQL, MongoDB, NoSQL, Apache HBase, Druid, CassandraData Tools: Apache Spark, Kafka, Hadoop, SSIS, SSRS, SSAS, Airflow, Apache NiFi, Apache Sqoop, Informatica, QlikAnalytics & Visualization: Tableau, Power BI, AWS Athena, Quicksight, Cognos, Grafana, Alteryx, DenodoCI/CD & DevOps: AWS CodePipeline, GitHub Actions, YAML, Kubernetes, Docker, Terraform

Experience

1. Data Engineer 2

   Amazon

   Feb 2025 — Present · Seattle, WA, US

Education

• Vivekanand Education Society's Institute Of Technology

  Computer Science

  2013 — 2017

• University of Illinois Urbana-Champaign

  Master's degree, Data science, Computer Science, Analytics

  2021 — 2022