Open to opportunities

Rithik K

@rithik_k

Message

AWS-certified Data Engineer with 2+ years of experience designing and automating data pipelines.

United States

Message

What I'm looking for

I'm seeking a Data Engineering role where I can build scalable pipelines using modern stacks like AWS Glue, Redshift, PySpark, and Airflow. I'm especially interested in data-driven teams in healthcare, fintech, or e-commerce industries.

I am an AWS-certified Data Engineer with over 2 years of hands-on experience in designing and optimizing scalable data pipelines across distributed cloud platforms. My journey has been marked by a proven track record of modernizing legacy systems and implementing real-time and batch ETL workflows that enhance data reliability for business-critical decision-making.

At Blue Shield of California, I successfully led the migration of a legacy on-premise data warehouse to Amazon Redshift, ensuring minimal downtime and seamless business operations. I have developed and automated data cleansing and validation processes, significantly reducing post-migration issues. My expertise in building CI/CD pipelines and engineering end-to-end data workflows has streamlined ingestion and transformation processes, driving efficiency and cross-functional impact.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Blue Shield of California

Mar 2024 - Present (1 year 4 months)

Led the successful migration of a legacy on-premise data warehouse to Amazon Redshift with less than 1 hour of downtime, ensuring uninterrupted business operations and smooth transition. Designed and built scalable ETL pipelines using AWS Glue, Apache NiFi, and Informatica to integrate structured and unstructured data from multiple source systems.

AWS Glue Apache NiFi Informatica Talend Python Gitlab Apache Airflow Prometheus AWS Lambda Step Functions Apache Spark Pyspark Amazon Redshift ODI SSIS VPC Based Access Controls

Data Engineer

Infosys

Jan 2021 - Present (4 years 6 months)

Installed, configured, and maintained open-source tools including Databricks, JupyterHub, PySpark, PostgreSQL, Prometheus, and Grafana, ensuring robust data operations and real-time system monitoring. Designed and optimized ETL pipelines using Apache NiFi and Apache Airflow to seamlessly integrate structured and semi-structured data across varied sources.

Databricks JupyterHub Pyspark PostgreSQL Prometheus Grafana Apache NiFi Apache Airflow Apache Kafka scikit learn TensorFlow Apache Spark Hadoop Tableau Power BI Docker Kubernetes Git Jenkins

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master’s in Information Systems and Technology, Information Systems and Technology

Pursued a Master's degree focusing on Information Systems and Technology. Gained expertise in various aspects of data management, system design, and technological applications.