Praneeth Kumar Email & Phone Number

Tampa, Florida, United States

In my role as a Data Engineer,I played a key role in designing, developing, and implementing automated data pipelines for marketing data. I leveraged my expertise in Python, Spark, and CI/CD methodologies to streamline the extraction, transformation, and ingestion of data from various marketing platforms. This included utilizing Spark Structured Streaming to enable real-time data processing, which facilitated faster insights generation and data-driven decision making.Furthermore, I played a critical role in optimizing Comcast's data infrastructure and processes. I successfully migrated on-premise data solutions to the cloud, establishing a data lake in cloud storage and a data warehouse in BigQuery. This migration improved scalability, accessibility, and efficiency for data management. Additionally, I optimized data modeling processes within TopBraid, resulting in enhanced efficiency and performance for data analysis tasks.Beyond technical infrastructure, I also focused on developing solutions to improve data accessibility and usability for various stakeholders across the organization. I created User-Defined Functions (UDFs) to automate complex calculations and data transformations, streamlining data analysis workflows. I also developed Sqoop scripts to facilitate data ingestion from diverse sources, including HDFS, Teradata, SQL Server, and PostgreSQL. This expanded data accessibility empowered informed decision making across various departments.Finally, I played a key role in building efficient data pipelines in Airflow using various operators for ETL automation. This automation ensured timely data availability and consistency, while also reducing manual intervention and potential errors.

Bengaluru, Karnataka, India

While at Captelex, I played a key role in modernizing and optimizing their data infrastructure. I successfully migrated and managed 4TB of historical data using Azure Data Factory and Snowflake, ensuring seamless access and scalability.Furthermore, I designed and implemented robust ETL pipelines using Databricks on both AWS and Azure, drawing data from diverse sources. To automate deployments and infrastructure management, I leveraged Azure DevOps for CI/CD and Terraform. My work extended to data visualization, utilizing Tableau dashboards, Power BI reports, and Python libraries for insightful interpretations.My expertise transcends cloud platforms. I've designed and developed pipelines on GCP using Cloud Storage, BigQuery, and Cloud Composer. Additionally, I've implemented UDFs, UDAFs, and UDTFs in Java for Hive, and built applications to ingest data from various sources into Hadoop using Sqoop, Kafka, and shell scripts. This diverse skillset allowed me to tailor solutions to specific needs.

Master'S Degree, Applied Statistics And Decision Analytics, 3.5

Bachelor Of Technology - Btech, Computer Science, A