Tanisha Mohaniyna
Associate Consultant at Infosys|| Azure Data Engineer || Azure Databricks || Azure Data Lake || Azure Data Factory || Pyspark || Azure Storage || SQL || Ex-Capgemini
- Role
- Associate Consultant at Infosys
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Tanisha Mohaniyna
Hi, Tanisha this side. Thanks for stopping by. Azure Data Engineer with 3+ years…
Experience
Associate Consultant
Jan 2025 — Present · Bengaluru, IN
Designed and developed end-to-end data pipelines for Nestle Finance Sales Actuals Data using Azure Data Factory (ADF), Azure Databricks (ADB), and Azure Data Lake Gen2, enabling efficient data ingestion of Finance Data, transforming, and storage.• Implemented the Medallion Architecture (Bronze, Silver, Gold layers) in Azure Databricks to structure data processing, ensure data quality, and support scalable analytics across raw, cleansed, and curated layers.• Wrote parameterized Azure Databricks notebooks using Databricks Widgets to support dynamic, reusable transformations.• Used Databricks Hive Metastore for efficient table creation and management, supporting schema enforcement and improved querying performance.• Created and managed mount points to Azure Data Lake Storage (ADLS Gen2), enabling secure, scalable, and efficient data access within Databricks.• Optimized Spark transformations by applying appropriate join strategies, including Broadcast Joins where applicable, and using PartitionBy to reduce data shuffling and improve performance.• Performed complex data transformations in Spark using Azure Databricks, processing data through structured layers (raw, cleanse, and active).• Integrated Azure Data Factory for orchestration and scheduling, with parameterized pipelines and event-based triggers to automate data workflows.• Leveraged auto-scaling in Azure Databricks to dynamically manage compute resources, improving cost efficiency during varying workload demands.• Implemented CI/CD pipelines using Azure DevOps, supporting automated deployments, versioning, and minimizing manual steps.• Collaborated with cross-functional teams to gather business requirements, align data pipelines to business goals, and deliver trusted data to downstream systems.Maintained high coding standards, ensuring scalability, modularity, and environment-specific configurations across dev, QA and prod.
Education
GLA University
Bachelor of Technology - B.Tech
2018 — 2022
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