Kaduluri Mohan sai
@kadulurimohansai
Big Data Developer with expertise in data engineering and analytics.
What I'm looking for
I am a Big Data Developer with 3 years of experience in software development, currently delivering critical data services to Nike. My proficiency in Java, Python, Scala, SQL, and Big Data technologies like Apache Spark, Hadoop, and HDFS allows me to build scalable data pipelines effectively. I have a strong background in cloud environments, particularly AWS, and I excel in orchestrating complex tasks using tools like Apache Airflow and Databricks.
At Nike, I played a pivotal role in migrating the landing layer from Teradata to the Databricks architecture as part of the MANA Remediation Program. I designed and implemented data ingestion pipelines, ensuring a seamless transition and optimizing job execution costs. My contributions include developing automated scripts for data validation and mitigating table locking issues, which have significantly enhanced operational efficiency.
With strong analytical and problem-solving skills, I am passionate about leveraging cutting-edge technologies to drive data-driven initiatives. I am committed to delivering tangible business value through innovative solutions and collaboration.
Experience
Work history, roles, and key accomplishments
Data Engineer
Infosys Ltd
Jan 2022 - Present (3 years 8 months)
Played a key role in migrating the landing layer from Teradata to the Databricks architecture, specifically the medallion component, as part of the MANA Remediation Program at Nike. Designed and implemented data ingestion pipelines using Databricks, Airflow for scheduling, and AWS S3 for raw data storage, ensuring a seamless transition from Teradata to Databricks.
Education
Degrees, certifications, and relevant coursework
Vignan’s Institute of Information Technology
Bachelor of Technology, Electrical and Electronics Engineering
Grade: 9.25 / 10
Graduated with a strong academic record in Electrical and Electronics Engineering. Focused on foundational principles and practical applications within the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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