Looking for a challenging role in a reputable organization to utilize my technical, database, and management skills for the growth of the organization as well as to enhance my knowledge about new and emerging trends in the IT sector.
Overview
5
5
years of professional experience
4
4
Certifications
Work History
Data Engineer
Infosys Limited
2 2023 - Current
Roles and Responsibilities:
- Working in Production (Health care Domain).
- Resolving Data Quality variance from source to target.
- Raising Incidents and RITM's in Iserve platform and resolving them in Azure DataBricks.
- Multiple Domains(sources) Data will be fetched in scheduled times in tool (AutoSys).
- Monitoring all the workflows in each Domain and resolving issues to meet SLA.
- Collaborating with multiple cross functional teams to resolve the issues.
- Providing data to the Business users as per their requirement.
Data Engineer
Infosys Limited
05.2022 - 02.2023
Roles and Responsibilities:
- Migrating Data from On-premise to Azure cloud Platform.
- Creating Pipelines and performing unit testing in ASA.
- Worked on PySpark Notebooks and created Schemas for the sources.
- Having Experience in Inserting a new source using MDIF (Meta Data Ingestion framework).
- Performing DDL operations on the Data as per the client requirement.
Snowflake Developer
NEXUS SOFTWARE LTD
06.2019 - 05.2022
Roles and Responsibilities:
- Proficient in designing and implementing Snowflake data warehousing solutions.
- Experienced in creating and managing Snowflake databases, schemas, tables, and views.
- Strong understanding of Snowflake's architecture, data sharing, and security features.
- Developed optimized SQL scripts to improve query performance and reduce execution time.
- Extracted, transformed, and loaded data from various sources into Snowflake data warehouses.
- Utilized Snowflake's features such as materialized views and clustering keys to enhance query efficiency.
- Collaborated with cross-functional teams to align data warehousing strategies with business objectives.
- Implemented security measures such as role-based access control, data masking, and encryption to ensure data security and compliance.
- Proactively identified and addressed potential challenges in data integration and processing.