Ayesha S

Senior Consultant

Mar 2022 - Present • 4 yrs 2 mos

Designed and developed dynamic Azure Data Factory pipelines supporting incremental and backfill processing using parameterized and loop-based frameworks. Built analytical data models using star and snowflake schemas to enable reporting and BI consumption. Modeled fact and dimension tables, applying appropriate granularity and SCD (Type 1/Type 2) strategies. Led on-prem SQL Server to Azure migration, ensuring data consistency and performance optimization. Worked closely with business and analytics teams to translate requirements into scalable data solutions

Data Engineer

Feb 2022 - Feb 2026 • 4 yrs

Performing salesforce migration to cloud. Delivered end-to-end Azure data platform for insurance client. Implemented Databricks Auto Loader to efficiently ingest incremental files from cloud storage, supporting scalable and fault- tolerant data ingestion. Understanding of CI/CD pipelines and version control (Azure DevOps / Git).

Consultant

Mar 2022 - Jun 2022 • 3 mos

Delivered end-to-end Azure Data Platform for an insurance client. Contributed to Salesforce data migration to cloud, integrating data into Azure ecosystem. Built and automated data pipelines, improving data processing efficiency and reliability. Implemented CI/CD pipelines and version control using Azure DevOps and Git. Developed pipelines targeting Azure Cosmos DB (NoSQL) using Azure Databricks and ADF