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Hello, I’m Jyothika Bollareddy, a data engineer with over 5 years of experience building end-to-end data pipelines and analytics solutions for banking, insurance, and government sectors. I enjoy turning complex data into reliable, scalable data platforms that empower teams to make data-driven decisions. I collaborate closely with data scientists, analysts, and DevOps teams to design scalable architectures using cloud-native services (AWS, Azure, GCP) and modern frameworks like Spark, Airflow, and Snowflake. My passion is delivering robust data solutions that are secure, compliant, and easy to operate.…Hello, I’m Jyothika Bollareddy, a data engineer with over 5 years of experience building end-to-end data pipelines and analytics solutions for banking, insurance, and government sectors. I enjoy turning complex data into reliable, scalable data platforms that empower teams to make data-driven decisions. I collaborate closely with data scientists, analysts, and DevOps teams to design scalable architectures using cloud-native services (AWS, Azure, GCP) and modern frameworks like Spark, Airflow, and Snowflake. My passion is delivering robust data solutions that are secure, compliant, and easy to operate.

Jyothika Bollareddy

Data Scientist, Developer, Full Stack Developer, +2

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Hello, I’m Jyothika Bollareddy, a data engineer with over 5 years of experience building end-to-end data pipelines and analytics solutions for banking, insurance, and government sectors. I enjoy turning complex data into reliable, scalable data platforms that empower teams to make data-driven decisions. I collaborate closely with data scientists, analysts, and DevOps teams to design scalable architectures using cloud-native services (AWS, Azure, GCP) and modern frameworks like Spark, Airflow, and Snowflake. My passion is delivering robust data solutions that are secure, compliant, and easy to operate.…Hello, I’m Jyothika Bollareddy, a data engineer with over 5 years of experience building end-to-end data pipelines and analytics solutions for banking, insurance, and government sectors. I enjoy turning complex data into reliable, scalable data platforms that empower teams to make data-driven decisions. I collaborate closely with data scientists, analysts, and DevOps teams to design scalable architectures using cloud-native services (AWS, Azure, GCP) and modern frameworks like Spark, Airflow, and Snowflake. My passion is delivering robust data solutions that are secure, compliant, and easy to operate.

Available to hire

Hello, I’m Jyothika Bollareddy, a data engineer with over 5 years of experience building end-to-end data pipelines and analytics solutions for banking, insurance, and government sectors. I enjoy turning complex data into reliable, scalable data platforms that empower teams to make data-driven decisions.

I collaborate closely with data scientists, analysts, and DevOps teams to design scalable architectures using cloud-native services (AWS, Azure, GCP) and modern frameworks like Spark, Airflow, and Snowflake. My passion is delivering robust data solutions that are secure, compliant, and easy to operate.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Advanced

Work Experience

Data Engineer at American Express Bank

May 1, 2024 - November 21, 2025

Designed microservices-based data architecture on AWS (S3, Lambda, Redshift) for scalable ingestion and processing pipelines. Led requirements gathering with business analysts to define ETL processes and real-time data transformations using PySpark for fraud analytics. Migrated on-prem data to AWS S3/Redshift, implemented Snowflake for high-concurrency analytics, and automated orchestration with Apache Airflow. Secured data with IAM, implemented row-level security in Snowflake, and built REST APIs for downstream consumption. Containerized ETL apps with Docker and Kubernetes; established CI/CD via Jenkins; enforced data quality checks and comprehensive logging for rapid troubleshooting.

Data Engineer at State of California

December 1, 2023 - December 1, 2023

Designed service-oriented data platforms using Azure Data Lake Storage and Azure Synapse. Built ETL workflows with Azure Data Factory; developed PySpark transformations on Azure Databricks; ingested JSON, CSV, XML, and Avro formats; integrated streaming data via Kafka; modeled dimensional data marts in Synapse, and implemented row-level security with AAD. Automated CI/CD with Jenkins and GitLab; detailed logging with Azure Monitor.

Data Engineer at Progressive Insurance

November 1, 2022 - November 1, 2022

Architected a microservices data platform on AWS, built ETL pipelines with AWS Glue and Spark on EMR; implemented Kafka-based streaming for real-time fraud detection; migrated on-prem Oracle/SQL Server to Redshift/S3; created dimensional models for Power BI dashboards; used Lambda for serverless orchestration and ensured HIPAA/PCI-DSS compliance; automated CI/CD with Jenkins and containerized Spark apps with Docker on Kubernetes.