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ayeshashaik267

Ayesha S

@ayeshashaik267

Azure Data Engineer

Países Bajos
Inglés, Telugu, Hindi, Urdu
Parte de la información aparece en idioma inglés.
Sobre mí
I am an Azure Data Engineer with 9+ years of IT experience and 4+ years specializing in Azure Data Engineering, delivering scalable, reusable, end-to-end data pipelines for enterprise clients. I have strong expertise in Azure Data Factory, Azure Databricks, ADLS Gen2, PySpark, SQL, and CI/CD using Azure DevOps.... Lee más

Habilidades

a
ayeshashaik267
Ayesha S
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

ETL de datos
I will build azure data factory pipelines and databricks workflows using pyspark
DeUSD 50 / proyectoMás información

Porfolio

Experiencia laboral

Capgemini

Capgemini

Tiempo completo • 8 yrs 5 mos

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