Pooja Devarapu
Actively Looking for contract opportunities
- Role
- Gcp Data Engineer at HP
- Location
- Bayonne, NJ, US
- LinkedIn followers
- 500 followers
About Pooja Devarapu
I am Pooja Devarapu.Completed my Bachelors in Computer Science in 2016.I worked as Data engineer with 10 years of experience in SDLC, data engineering, data lakes, data analytics, and cloud platforms. Experience with AWS, Azure, and Big Data Stack.Experience with Spark, Hadoop, SQL, NoSQL databases, and data pipelines.I worked on projects involving data migration, data analysis, and data transformation.Proficient in a variety of programming languages and tools.
Experience
Gcp Data Engineer
Feb 2022 — Present · Spring, TX, US
Extensive hands-on experience with AWS services including S3, Redshift, Glue, Lambda, EMR, RDS, and DynamoDB to build and optimize data lakes and data warehouses.Expertise in designing and maintaining ETL/ELT pipelines using AWS Glue, Step Functions, and Lambda for data ingestion, transformation, and processing.Proven ability in migrating on-premises databases to AWS cloud platforms and optimizing cloud-based storage solutions for performance and cost efficiency.Deep knowledge of big data technologies such as Apache Spark, Hadoop, and Kafka, with a focus on real-time data processing and streaming architectures.Strong background in SQL and NoSQL databases, data modeling, and query optimization to support analytics and business intelligence.Experience in implementing data governance, security best practices, and compliance measures across cloud environments.Skilled in developing automated data workflows, monitoring solutions, and performance tuning to ensure the reliability of cloud-based data infrastructure.Proficient in collaborating with cross-functional teams including data scientists, analysts, and stakeholders to deliver data-driven insights and solutions.Leverages Azure Data Factory (ADF) to build pipelines for data movement and transformation across various sources like SQL databases, Blob storage, and data warehouses.Develop Spark applications in Scala for large-scale data processing and cleansing tasks.Expertise includes data ingestion, storage, and analysis using tools like Spark, Hive, Sqoop, and Kafka.
Education
Jawaharlal Nehru Technological University Kakinada (JNTUK)
Computer Science
2012 — 2016
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