Data Engineer with Cloud ETL and Analytics Expertise

PADMAJA KUCHI

DATA ENGINEER

+940-***-**** ***********@*****.***

Education

Southern Arkansas University Jan 2023 – Dec 2024

Master’s in Computer Science USA

Profile Summary

Results-driven Data Engineer with 5+ years of experience designing, developing, and optimizing end-to-end data pipelines across Azure, AWS, and GCP cloud platforms. Expert in ETL development, data modeling, data warehousing, and building scalable, high-performance data architectures for analytics and reporting. Hands-on experience with cloud services including Azure Data Factory, Synapse Analytics, Databricks, AWS

Glue, Redshift, Lambda, BigQuery, Dataflow, and Cloud Composer. Proficient in Python, SQL, PySpark, and Apache Airflow for data ingestion, transformation, and automation of complex workflows. Skilled in implementing data governance, security, and compliance using Azure Purview, AWS IAM/KMS/CloudTrail, and GCP IAM, ensuring data quality and regulatory adherence. Experienced in CI/CD automation, monitoring, and optimization of data pipelines using Azure DevOps, AWS CodePipeline, CloudFormation, and Cloud Build. Collaborates effectively with cross-functional teams including data analysts, BI developers, and business stakeholders to deliver actionable insights and real-time analytics solutions.

Experience

GameStop Apr 2024 – Present

Azure Data Engineer Irving, Texas, USA

•Designed and implemented scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics for efficient ETL workflows.

•Developed and optimized data storage and processing solutions with Azure Data Lake, SQL Database, and Delta Lake for analytical reporting.

•Built and maintained data models, transformations, and orchestrations aligned with business and analytics requirements.

•Collaborated with cross-functional teams to ensure data integrity, consistency, and accessibility across enterprise platforms.

•Implemented robust data governance, monitoring, and security using Azure Monitor, Key Vault, and Purview.

•Automated CI/CD pipelines to enhance performance, scalability, and deployment efficiency in data workflows.

•Supported real-time analytics and machine learning pipelines ensuring high data quality and optimized Azure resource usage.

Vistra Corp May 2023 – Mar 2024

AWS Data Engineer Irving, Texas, USA

•Developed and managed scalable data pipelines using AWS Glue, Lambda, and Step Functions for automated ETL workflows.

•Designed and optimized data storage solutions leveraging Amazon S3, Redshift, and Athena for analytics and reporting.

•Implemented data transformation and ingestion processes using PySpark and AWS Glue Studio to enhance data accuracy and quality.

•Collaborated with data analysts and business stakeholders to build reliable, high-performance data models and schemas.

•Ensured data security, governance, and compliance using AWS IAM, KMS, and CloudTrail monitoring.

•Automated workflow orchestration and continuous integration using AWS CodePipeline and CloudFormation.

•Optimized query performance and cost efficiency through Redshift tuning, partitioning, and data compression techniques.

S&P Global Sep 2021 – Dec 2022

GCP Data Engineer Mumbai, India

•Designed and developed end-to-end data pipelines using Google Cloud Dataflow, Dataproc, and Pub/Sub for large-scale data processing.

•Implemented efficient ETL workflows leveraging BigQuery, Cloud Storage, and Cloud Composer for analytics and reporting solutions.

•Built data models and transformation logic using SQL and Python to support advanced analytics and BI requirements.

•Integrated data from multiple on-prem and cloud sources ensuring data quality, lineage, and consistency across environments.

•Configured IAM roles, VPCs, and service accounts to maintain secure and governed access to GCP resources.

•Automated deployment and monitoring of data pipelines using Cloud Build and Stackdriver for CI/CD and observability.

•Collaborated with cross-functional teams to optimize data workflows, reduce latency, and improve overall system scalability.

Macleods Pharmaceuticals Ltd May 2020 – Aug 2021

Data Engineer Mumbai, India

•Developed and maintained ETL pipelines using Python, SQL, and Apache Airflow to automate data ingestion from multiple business systems.

•Designed and implemented relational and analytical data models to support pharmaceutical manufacturing and sales analytics.

•Performed data cleansing, validation, and transformation to ensure high data quality and regulatory compliance.

•Integrated data from ERP, CRM, and laboratory systems into centralized data warehouses for unified reporting.

•Optimized SQL queries and database performance across large transactional and analytical datasets.

•Collaborated with data analysts and business teams to deliver dashboards and insights using Power BI and Tableau.

•Implemented data governance standards and automated data workflows for improved operational efficiency and accuracy.

Technical Skills

•Cloud Platforms: Microsoft Azure (Data Factory, Synapse Analytics, Databricks, Data Lake), AWS (Glue, Redshift, Lambda, S3, Athena), Google Cloud Platform (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer)

•Programming & Scripting: Python, SQL, PySpark, Shell Scripting

•Data Engineering Tools & Frameworks: Apache Airflow, Apache Spark, Databricks, Kafka, Hadoop, Snowflake, Delta Lake

•ETL & Data Warehousing: ETL Pipelines, Data Modeling (Star/Snowflake Schema), Data Lakehouse Architecture, Azure Synapse, AWS Redshift, GCP BigQuery

•DevOps & Automation: CI/CD Pipelines, Azure DevOps, AWS CodePipeline, Cloud Build, Terraform, CloudFormation, Git

•Data Governance & Security: Azure Purview, AWS IAM, KMS, CloudTrail, GCP IAM, Key Vault, RBAC, Data Lineage, Compliance Management

•Visualization & Reporting: Power BI, Tableau, Looker Studio

•Database & Storage Systems: Azure SQL Database, Amazon RDS, MySQL, PostgreSQL, Google Cloud Storage, ADLS, Amazon S3

•Monitoring & Performance Optimization: Azure Monitor, AWS CloudWatch, Stackdriver, Query Tuning, Resource Optimization

•Other Tools: JIRA, Confluence, GitHub, Agile/Scrum Methodologies

Certifications

•Microsoft Certified: Azure Data Fundamentals.

•Google Cloud Certified: Associate Cloud Engineer

•AWS Certified:Associate Data Engineer.

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