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Bhavya Budda

@bhavyabudda

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Senior Data Engineer with expertise in cloud-native solutions and ETL.

Zimbabwe

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth opportunities in data engineering.

I am a Senior Data Engineer with over 7 years of experience specializing in cloud-native solutions and big data technologies. My expertise lies in designing and implementing scalable data architectures using AWS services such as Glue, Lambda, and Redshift. I have a proven track record of developing robust ETL/ELT pipelines and integrating diverse data sources, ensuring high data quality and accessibility.

Throughout my career, I have successfully built and managed real-time streaming solutions and developed interactive dashboards using tools like Tableau and Power BI. My experience spans various industries, including healthcare and finance, where I have delivered data-driven solutions that support strategic decision-making. I am passionate about leveraging my technical skills to drive innovation and efficiency in data engineering.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Amazon

Sep 2024 - Present (10 months)

Designed and developed a scalable, end-to-end ETL pipeline to ingest and process cloud provider announcements using AWS Glue, Lambda, Redshift, and S3. Led architecture design for a multi-stage Medallion data pipeline (Raw → Bronze → Silver) to structure and optimize data ingestion, cleaning, enrichment, and transformation workflows.

AWS Glue AWS Lambda Amazon Redshift Amazon S3 Apache Spark Pyspark Python AWS Step Functions MongoDB Apache Airflow Amazon Quicksight Docker Amazon EKS Kubernetes

Data Engineer

Fintech

Dec 2022 - Aug 2024 (1 year 8 months)

Developed comprehensive ETL solutions for banking data, facilitating extraction, transformation, and loading into target data warehouses and lakes. Designed and implemented data engineering solutions using Databricks and Apache Spark, ensuring high data quality and precision.

Databricks Apache Spark Azure Data Factory AWS Glue Snowflake Amazon Redshift AWS S3 Azure Blob Storage AWS Lambda Python Apache Kafka AWS Kinesis Django REST Framework Terraform Ansible MongoDB

Data Engineer

Vizient

Mar 2020 - Nov 2022 (2 years 8 months)

Designed and implemented a healthcare-specific Data Warehouse, aggregating data from various sources including claims data, EHR, and medical billing data. Developed and optimized ETL processes for precise extraction and transformation of healthcare data, enhancing data integrity and accessibility.

AWS S3 AWS Glue Amazon EMR Amazon Redshift Hadoop Apache Spark Apache Hive Snowflake PostgreSQL NoSQL Python AWS IAM Azure Data Factory Apache Kafka Django Terraform Ansible Jenkins Gitlab CI MongoDB

Data Engineer

Macy's

Jul 2018 - Feb 2020 (1 year 7 months)

Developed end-to-end data pipelines for retail, encompassing data gathering, transformation, and loading into data lakes or warehouses to facilitate comprehensive data analysis. Designed and implemented large-scale distributed solutions in AWS and Azure clouds, aligning with the scalability and cost-efficiency needs of retailers.

AWS Azure Apache Kafka AWS Glue Apache Spark Snowflake Amazon Redshift MongoDB Apache Airflow AWS ECS Azure Data Factory Python AWS Cloudwatch PostgreSQL Amazon RDS AWS KMS AWS IAM

Data Engineer

Mass Mutual

May 2016 - Jun 2018 (2 years 1 month)

Deployed AWS services for processing insurance data, employing S3, Glue, EMR, Lambda, EC2, RDS, and Athena. Established a continuous integration and continuous delivery (CI/CD) pipeline on AWS, automating steps in the software delivery process.

AWS S3 AWS Glue Amazon EMR AWS Lambda Amazon EC2 Amazon RDS Amazon Athena Apache Hive Scala Apache Kafka HDFS MongoDB AWS CodePipeline Jenkins Amazon Redshift Snowflake

Education

Degrees, certifications, and relevant coursework

Northeastern University

Masters, Data Analytics

Completed a Masters in Data Analytics, focusing on advanced data analysis techniques and methodologies. Gained expertise in various data analytics tools and platforms relevant to the industry.