Data Scientist | Data Engineer

Technical Skills: Kafka, Airflow, AWS S3, Apache Spark, Scala, Autosys, CyberArk, Sqoop, Hive, HDFS, Confluence, WebLogic, Big Data, Python, Linux, MySQL, Shell Scripting, IBM Connect Direct (NDM), ServiceNow, R Programming, Data Mining, SQL, Apache Iceberg, Presto, Deeque, Docker, ArgoCD, AWS, Intellij, Git, Bitbucket, JIRA, Maven, PySpark
Certifications
- Generative AI Fundamentals - Databricks
- AWS Certified Cloud Practitioner
- Spark Framework- Infosys
- Oracle Cloud Infrastructure foundations 2021 Certified Associate- Oracle
- Big Data 101- Infosys
- Infosys Certified Python Associate- Infosys
- Apache Kafka Tutorials- Infosys Springboard
Education
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| M.S, Engineering Science - Data Science, GPA: 3.67/4.0 |
University at Buffalo, Buffalo, NY, USA |
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| B.Tech, Software Engineering, CGPA: 8.04/10 |
SRM Institute of Science and Technology, India |
Work Experience
AI Data Engineer @ Saayam For All (Buffalo, NY)(Feb 2025 - Present)
- Skills: Python (Programming Language) · Application Programming Interfaces (API) · Data Extraction · Extract, Transform, Load (ETL) · Requests · Beautiful Soup · JSON
Associate Cloud Data Engineer @ Calix (San Jose, CA)(Oct 2024 - Nov 2024)
- Skills: Spark, Scala, PySpark, Data Quality, Amazon Deeque, Azkaban, Apache Iceberg, DynamoDB, S3, Data Governance, CDC
Cloud Data Engineer Intern @ Calix (San Jose, CA)(May 2024 - Aug 2024)
- Skills: Spark, Scala, PySpark, SDK, Apache Iceberg, DynamoDB, S3, Presto
Technology Analyst - Data Engineer (Former Senior Systems Engineer) @ Infosys Pvt Ltd (Jan 2020 - Jul 2023)
- Lead real-time data validation efforts using Apache Spark and advanced SQL techniques, ensuring strict adherence to SLAs for seamless data processing.
- Automated data import processes through Shell scripting, Airflow, and Sqoop, resulting in a significant reduction in manual efforts and enhanced operational efficiency.
- Architected seamless integration among Hive, Hbase, and Spark for agile data analysis and swift retrieval, optimizing complex operations.
- Developed and implemented strategies to optimize data querying efficiency, including Hive table management, partitioning, and incremental imports.
- Consistently exceeded client expectations, delivering exceptional results and maintaining a high standard of service delivery.
- Spearheaded configuration and troubleshooting of IBM Connect Direct/NDM connectivity, ensuring smooth data exchange across multiple partner systems.
- Managed end-to-end setup of Linux-based environments supporting Oracle Revenue Management and Billing (ORMB) applications across various instances (DEV/SIT/UAT/PTE/PROD/COB).
- Drove automation initiatives using shell scripts and Ansible playbooks, significantly reducing delivery time.
- Facilitated enhanced password management through the onboarding of database FIDs to CyberArk.
- Proficiently handled VM procurement, middleware application server setup, and system instance management.
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