Work Preference
Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic
Open To Work

Yaashi

Greater Noida

Work Preference

Job Search Status

Open to work

Work Type

Full Time

Location Preference

HybridOn-SiteRemote

Summary

Skilled Data Engineer with 2+ years of experience in developing scalable ETL pipelines and data integration solutions on Azure. Expertise in Azure Data Factory, SQL, PostgreSQL, and AWS S3, with practical experience in integrating enterprise data using REST APIs and SFTP. Delivered comprehensive data solutions for cloud cost allocation and employee lifecycle management, emphasizing data transformation and workflow automation.

Overview

1
1
Certification
6
6
years of post-secondary education
3
3
years of professional experience

Work History

Professional Experience Internal Employee Managem

TELEPERFORMANCE
10.2023 - Current
  • Professional Experience
    Internal Employee Management Platform (MyTP)
    Technologies: Azure Data Factory (ADF), Azure Data Lake, Lakehouse Federation, PostgreSQL, SQLProject Description
    Developed and maintained an internal employee management platform consisting of multiple modules including TimeClock, Sentiment Feedback, and attendance management. The application was hosted on an on-premises infrastructure with PostgreSQL as the backend database.Key Responsibilities
    Designed and developed ETL pipelines to ingest and transform data from Lakehouse Federation into PostgreSQL.
    Built automated Azure Data Factory (ADF) pipelines for scheduled data processing.
    Managed data integration for multiple internal modules including:
    TimeClock (Employee Login/Logout Tracking)
    Sentiment Feedback (Positive/Negative Employee Feedback Analysis)
    Attendance Management
    Worked with on-premises PostgreSQL databases for data storage and reporting.
    Optimized data workflows to ensure reliable and efficient data availability.
    Collaborated with cross-functional teams for data validation and issue resolution.Azure & AWS Billing Cost Allocation System
    Technologies: Azure Data Factory, Azure Storage, Amazon S3, SQLProject Description
    Developed a cloud cost reporting solution to allocate Azure and AWS infrastructure costs across projects.Key Responsibilities
    Extracted Azure billing data from Azure Storage.
    Retrieved AWS billing data directly from Amazon S3.
    Designed ETL processes to cleanse and transform billing data.
    Implemented project-wise cost allocation and reporting.
    Automated data ingestion and transformation workflows.
    Improved cost visibility for project stakeholders.ServiceNow Ticket Analytics
    Technologies: REST API, Azure Data Factory, SQLProject Description
    Automated ServiceNow ticket data integration for reporting and operational analytics.Key Responsibilities
    Integrated ServiceNow ticket data using REST APIs.
    Designed ETL pipelines to process incident and service request data.
    Automated daily data extraction and loading.
    Created structured datasets for reporting and dashboard consumption.
    Ensured data accuracy and pipeline reliability.Storage Optimization (Vacuum Process)
    Technologies: SQL, Data LakeProject Description
    Implemented storage maintenance processes to optimize cloud storage utilization.Key Responsibilities
    Executed Vacuum operations to remove obsolete and unused files.
    Improved storage efficiency and reduced infrastructure costs.
    Maintained data consistency while performing cleanup activities.Workday Employee Data Integration
    Technologies: SFTP, REST API, Azure Data Factory, SQLProject Description
    Built automated employee data integration pipelines using Workday data sources.Key Responsibilities
    Retrieved employee data through SFTP and REST APIs.
    Processed resignation and termination records.
    Developed ETL pipelines for employee lifecycle management.
    Automated scheduled data synchronization.
    Performed data validation and transformation before loading.TimeBlock Attendance System
    Technologies: SQL, ETLProject Description
    Managed attendance-related data integration and reporting.Key Responsibilities
    Processed employee attendance data through ETL workflows.
    Cleaned and transformed attendance records.
    Automated attendance data processing.
    Supported reporting and analytics requirements.

Education

Bachelor's of computer application (BCA) -

CCS UNIVERSITY
Ghaziabad, UP
08.2020 - 09.2023

Intermediate -

CBSE Board
UP
04.2019 - 06.2020

Matric -

CBSE Board
UP
04.2017 - 07.2018

Skills

  • ETL Development
  • Data Integration
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Pyspark
  • Spark SQL
  • Data Transformation
  • Data lake storage
  • Azure Storage
  • Data Validation
  • Pipeline Automation
  • Workflow Automation
  • SQL
  • PostgreSQL
  • SFTP
  • Data Analysis
  • Data Analysis

Certification

  • DP-600: Microsoft Fabric Analytics Engineer,MicrosoftDP-900: Microsoft Azure DataFundamentals, Microsoft
  • Databricks Certified: DatabricksAI Fundamentals
  • Web designing Training Program

Timeline

Professional Experience Internal Employee Managem

TELEPERFORMANCE
10.2023 - Current

Bachelor's of computer application (BCA) -

CCS UNIVERSITY
08.2020 - 09.2023

Intermediate -

CBSE Board
04.2019 - 06.2020

Matric -

CBSE Board
04.2017 - 07.2018
Yaashi