Open to opportunities

Kranthi Kasaragadda

@kranthikasaragadda

Message

Detail-oriented Data Engineer with expertise in scalable data pipelines.

United States

Message

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 AI/ML initiatives.

I am a detail-oriented and impact-driven Data Engineer with over 3 years of experience in architecting and deploying scalable, high-performance data pipelines in cloud-native environments. My proficiency lies in designing real-time and batch ETL/ELT workflows using Python, PySpark, and SQL, orchestrated via tools like Apache NiFi, Apache Airflow, and Azure Data Factory. I excel at ingesting structured and unstructured data from various sources into analytics-ready formats, ensuring data is primed for analysis and decision-making.

In my current role at Tenet Healthcare, I have successfully designed and optimized scalable ETL pipelines that have streamlined cross-functional data workflows, significantly enhancing analytics capabilities. My efforts in automating data ingestion workflows and implementing enterprise-grade data security controls have led to improved compliance and efficiency. Previously, at Genpact, I engineered low-latency data pipelines that reduced processing latency and supported real-time analytics, showcasing my ability to deliver impactful data solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

TenetHealthcare USA

Dec 2023 - Present (1 year 7 months)

Designed and optimized scalable ETL pipelines using PySpark, SQL, and Azure Databricks to streamline cross-functional data workflows and accelerate analytics capabilities. Automated data ingestion workflows from REST APIs and cloud-native sources using Azure Data Factory and Data Lake Storage Gen2, supporting both real-time streaming and batch processing architectures.

Pyspark SQL Databricks Azure Data Factory Data Lake Storage Gen2 Azure Key Vault

Data Engineer

Genpact India

Jan 2021 - Jul 2022 (1 year 6 months)

Engineered low-latency batch and streaming data pipelines using Apache Spark, Pig, and Kafka, reducing overall data processing latency by 25% and supporting real-time analytics workloads. Developed scalable ETL solutions leveraging Apache NiFi and Talend to integrate diverse data sources, including REST APIs, SaaS platforms, and multi-cloud environments (AWS/Azure).

Apache Spark Pig Kafka Apache NiFi Talend Apache Airflow AWS Azure

Education

Degrees, certifications, and relevant coursework

Lamar University

Master of Science, Management Information Systems

Completed a Master of Science in Management Information Systems, focusing on the intersection of business and technology. Gained expertise in data management, system analysis, and IT strategy.

R.V.R.&J.C.College

Bachelor of Engineering, Electronics & Communication

Obtained a Bachelor of Engineering in Electronics & Communication, building a strong foundation in electronic systems and communication technologies. Developed problem-solving skills and technical proficiency.