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Sairamya Annapureddy

@sairamyaannapureddy

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Data Engineer with expertise in ETL and cloud technologies.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data engineering skills to drive impactful solutions and contribute to a data-driven culture.

I am a Data Engineer with around 4 years of experience specializing in designing and optimizing ETL pipelines, building data models, and implementing automation. My expertise lies in processing large-scale datasets, leveraging Hadoop, and integrating structured and unstructured data into cloud-based data lakes and warehouses on AWS and Azure platforms.

Throughout my career, I have successfully incorporated real-time data processing and stream analytics with Apache Flink, enabling low-latency data ingestion and real-time analytics for operational decision-making. I am skilled in applying Agile/Scrum methodologies to ensure timely delivery of data solutions while collaborating effectively with cross-functional teams.

My technical proficiency includes Python, SQL, and various data engineering tools, which I have utilized to develop and maintain ETL workflows, ensuring seamless data transformations and increased processing speeds for large-scale datasets. I am passionate about leveraging data to drive insights and support strategic decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Lorhan Corporations Inc

Jan 2025 - Present (6 months)

Managed AWS cloud infrastructure resource provisioning with AWS services such as EC2, RDS, and S3, reducing deployment times and ensuring the reliability of financial data systems critical for trading, risk management, and compliance. Orchestrated real-time data processing using AWS Kinesis and Apache Kafka to synchronize transactional data across distributed systems, supporting over 200 financial

AWS EC2 RDS S3 AWS Kinesis Apache Kafka Hadoop Spark Apache Spark AWS Glue Snowflake DBT Python SQL Scala

Application Development Associate

Accenture India

Aug 2021 - Jul 2022 (11 months)

Designed and deployed 5+ scalable data pipelines leveraging Java, AWS (Glue, S3, Lambda), and Redshift, enabling daily ETL/ELT processing of 2TB+ data from 3+ heterogeneous sources to support enterprise analytics. Automated CI/CD workflows for data infrastructure using Jenkins, Terraform, and Azure DevOps, reducing pipeline deployment cycles by 50 hours/year and manual intervention by 120 hours/ye

Java AWS Glue AWS S3 AWS Lambda Redshift Jenkins Terraform Azure DevOps Kafka Tableau Docker Kubernetes

Data Engineer

Mathashree Healthcare

Jan 2019 - May 2021 (2 years 4 months)

Resolved incremental load workflows by transitioning healthcare data from traditional RDBMS to Azure Data Lake, ensuring daily synchronization of healthcare data across systems. Developed RESTful APIs using Spring Boot, enabling secure data exchange and processing 50,000+ requests daily for real-time healthcare analytics.

Data Lake Spring Boot Azure Data Factory T SQL Azure Storage Databricks SQL Server MongoDB Snowflake DBT Apache Airflow

Education

Degrees, certifications, and relevant coursework

Indiana Wesleyan University

Master of Science, Data Analytics

Pursued a Master of Science in Data Analytics, gaining expertise in advanced data analysis techniques and tools. Focused on leveraging data for strategic decision-making and problem-solving.

SIR CRR College of Engineering and Technology

Bachelor of Technology, Computer Science and Engineering

Completed a Bachelor of Technology in Computer Science and Engineering. Developed a strong foundation in computer science principles, including algorithms, data structures, and software development.