Summary
Overview
Work History
Education
Skills
Projects
Personal Information
Timeline
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Sudha Kulkarni

Sudha Kulkarni

Pune

Summary

  • To add value to growing and progressive organization by using my talent and skill sets and prosper in career growth along with growth of organization.

Overview

6
6
years of professional experience

Work History

Associate Big Data Engineer - Prod Support

TIAA Global Capabilities private limited
Pune
08.2019 - Current
  • Hands-on experience with monitoring/logging tools Autosys similar to Control M, Splunk
  • Have good hands-on knowledge on IBM Datastage ETL tool for batch progress overseeing.
  • Experience with ticketing systems such as ServiceNow, JIRA.
  • Have knowledge of Production Support processes and procedures (Change, Incident, Problem & Service management).
  • Have understanding of ITIL process with experience in troubleshooting daily application issues with RCA.
  • Delivered L1/L2 support by resolving critical incidents within SLA/SLE, ensuring uninterrupted system performance.
  • Supported a centralized big data platform for 40+ distributed sources handling file ingestion, table ingestion and streaming ingestion.
  • Familiar with cloud platforms AWS, Azure, Starburst, Apache Kafka, Sysdig.
  • Experience in working with AWS big data technologies(S3,EMR,Airflow, Athena, Glue, Cloudwatch).
  • Have knowledge of databases (Oracle, Snowflake, Teradata, Hive, My SQL Workbench) for query troubleshooting and performance tuning.
  • Managed and automated routine UNIX/LINUX OS tasks.
  • Have worked on DR/toggle, Outage, patching support activities.
  • Have worked on monthly reports on MS Excel.
  • Have exposure on confluence documentation, SharePoint documents, KB Articles.
  • Worked on MyGate as a platform for information storage and GeneAI as an advanced AI-powered tool to enhance writing capabilities.
  • Worked as shift planner for team with ownership & participated in on-call rotation support shifts.
  • Have worked in flexible shifts and weekends in 24*7 support.
  • Worked closely with development, QA and infrastructure teams to ensure seamless production operations.
  • Experience in financial/Banking/Large scale enterprise production support.
  • Ability to learn quickly, document effectively and handle multiple tasks as priorities appropriately.
  • Excellent troubleshooting, communication and collaboration skills.

Education

B.E - Computer Science

Bharati Vidyapeeth
PUNE UNIVERSITY
01-2019

Skills

  • Graduate Computer Engineer with 6 years experience with a banking organization in data warehousing, data analytics and data visualization
  • ETL IBM DataStage tool
  • Autosys for scheduling/monitoring
  • ServiceNow as ticketing systems
  • Databases: Snowflake, Teradata, Oracle, RDS MySQL, Hive
  • AWS cloud services: S3,Airflow, Athena, Glue, Cloudwatch, EMR
  • Putty and WinSCP
  • GeneAI
  • Microsoft Power BI and Excel
  • Starburst and analytics tools
  • Sysdig for monitoring
  • Kafka for messaging
  • MyGate platform management
  • GitHub for version control
  • Confluence for documentation
  • UNIX operating system and UNIX shell scripting
  • Core Java basics and Python

Projects

Data warehousing - ETL nightly batch processing

  • Have worked on the Splunk Dashboard, Moogsoft alerts to analyze the ETL job failures to be worked on to get batch processed smoothly.
  • Used oracle, snowflake database to store all the data, Stored Procedures, Packages, Based on business requirements deliver daily data before planned SLE.
  • Handled the issues, failures for RTRMNT, Relationship critical batch processing ASAP with notifying required downstream consumers if any source delays, batch processing issues impacting SLE.
  • Update the database Tables if any record issues such as duplicate or data type issue occurred while loading files after confirming with source.
  • Update the database connections if any configuration changes done with Cyber Ark, CloudOps team.
  • Close handled issue tickets in service now with resolution details.
  • Create confluence pages, KB articles for repeating issue handling.
  • Generate monthly report on critical modules completion with SLE miss RCA in detail to represent higher management.
  • Look for the new changes and possible enhancements in Dashboard, tools updates and there by beautify the tool as well User Friendly interface which should be easy in handling.

ADLF to EDC Cloud Migration in AWS 2.0

  • The main objective is the to support the AWS cloud migration to EDC hydration, CDP salesforce with existing load runs handling without any business impact.
  • Monitor migrated SOR runs and handle the failures with Dev/L3 support with action on dags as Pause, Clear task, un pause to manage workflows and task execution in airflow.
  • Run Daily CDP dags manually once salesforce load completed in EDC hydration and validated in RDS DB and salesforce splunk dashboards with events and counts.
  • Validate data daily once load completed from ETL batches and Airflow dags with avg run times, start times and load volume.
  • Support technical issue, demonstrate problem solving.
  • Interact with other downstream systems in data integration issues.
  • Resolve the critical issues in production support and mingle with team to ensure successful resolution of reported incident.

Personal Information

Date of Birth: 05/22/97

Languages proficiency  : English, Hindi, Marathi.

Hobbies  : Anchoring and Traveling

Timeline

Associate Big Data Engineer - Prod Support

TIAA Global Capabilities private limited
08.2019 - Current

B.E - Computer Science

Bharati Vidyapeeth
Sudha Kulkarni