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Nida U
@nida_ullah
Certified Senior Workday Consultant, HCM, Reporting, Integrations Expert
Pakistan
English, Urdu, Hindi, Punjabi
About me
Hello! I’m Nida Ullah, a Certified Senior Workday Consultant with 7+ years of experience designing and optimizing end-to-end Workday solutions across HCM and Financials. I've worked with 50+ international clients, handling complex HRIS challenges and transforming business requirements into scalable Workday configurations. With strong expertise in Workday HCM Core, Reporting, Recruiting, Talent & Performance, Absence Management, Security, Benefits, Financials, and Integrations. I’m here to help you maximize the value of your Workday system and solve your unique business needs—let’s get started!
Skills
Nida U
Offline •
Average response time: 274 hours
See my services
Data Engineering
I will be your expert databricks and etl data engineer on AWS azure gcp
Data Engineering
I will provide expert data engineer support and personalized training
Portfolio
Work experience
Senior Gcp Data Engineer
VentureDive • Full-time
Nov 2024 - Present • 1 yr 6 mos
Responsibilities: * Designed, developed, and maintained ETL/ELT pipelines on Google Cloud Platform using Python, SQL, and Cloud Composer. * Built and optimized data warehouses and data lakes using BigQuery, Cloud Storage, and Dataproc. * Implemented real-time data processing workflows with Pub/Sub, Dataflow, and Databricks. * Automated data integration and transformation workflows for operational efficiency. * Created data models, schemas, and analytics-ready datasets for reporting and machine learning applications. * Monitored pipeline performance, identified bottlenecks, and optimized system efficiency. * Ensured data quality, validation, and compliance across multiple data sources. * Produced technical documentation, runbooks, mapping templates, and handover notes for team use. * Collaborated with analysts, engineers, and business teams to deliver reliable and accurate datasets.
Senior Azure Data Engineer
Avanceon • Full-time
Mar 2023 - Oct 2024 • 1 yr 7 mos
Responsibilities: * Designed, developed, and maintained end-to-end ETL/ELT pipelines on Azure using Python, SQL, and Azure Data Factory. * Built and optimized data warehouses and data lakes on Azure Synapse, Blob Storage, and Data Lake Storage. * Implemented real-time data streaming and processing workflows using Azure Event Hubs and Databricks. * Automated data workflows to improve operational efficiency and reduce manual effort. * Created data models, schemas, and analytics-ready datasets for reporting and machine learning applications. * Monitored pipeline performance, identified bottlenecks, and performed optimizations to improve efficiency. * Ensured data quality, validation, and compliance across multiple sources. * Produced technical documentation, runbooks, mapping templates, and handover notes for team reference. * Collaborated with business teams, data analysts, and engineers to deliver accurate and reliable datasets.
AWS Data Engineer
Odyssey Solutions • Full-time
Feb 2022 - Mar 2023 • 1 yr 1 mo
Responsibilities: * Designed, implemented, and maintained ETL/ELT pipelines on AWS using Python, SQL, and Airflow. * Built and optimized data warehouses and data lakes on AWS services such as Redshift, S3, and Glue. * Developed real-time data streaming and processing workflows using Kafka and AWS Kinesis. * Automated data workflows to improve efficiency and reduce manual intervention. * Created data models and schemas for analytics, reporting, and machine learning applications. * Monitored pipeline performance, identified bottlenecks, and optimized system efficiency. * Ensured data quality, validation, and compliance across all data sources. * Produced technical documentation, runbooks, and handover notes for team use. * Collaborated with analysts, engineers, and business teams to deliver accurate, analytics-ready datasets.
