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Aashi Khandelwal

@aashikhandelwal2

Forward Deployed Data Engineer at Chapter247 Infotech who developed Python integration pipelines and secure API monitoring for operational data.

India

Message

At Chapter247 Infotech, I developed Python integration pipelines connecting RLS-backed databases, SharePoint, external APIs, and Azure services, including migration to Supabase. I also implemented MSAL-based authentication and API error monitoring through Azure Application Insights.

On a Microsoft Fabric migration project, I transformed Operations Logistics data from an Azure-hosted SQL Server into a Lakehouse using Medallion Architecture and PySpark. Across other projects, I built incremental ETL workflows and data-quality alerts with tools including Databricks, AWS S3, and SQL.

Experience

Work history, roles, and key accomplishments

Forward Deployed Data Engineer

Chapter247 Infotech

Developed Python-based integration pipelines to extract and transform data from RLS-backed databases, SharePoint, external APIs, and Azure services, including migration to Supabase. Implemented MSAL-based authentication and API error logging through Azure Application Insights.

Python SQL Azure Functions Azure SQL Data Factory API Management Azure Service Bus SharePoint Blob MSAL (Microsoft Authentication Library)Application Insights

Data Engineer

Chapter247 Infotech

Migrated Operations Logistics data from Azure-hosted SQL Server to Lakehouse following Medallion Architecture. Created pipelines and notebooks for continuous data transformation and configured eventhouse for tracking Fabric components.

SQL PySpark Lakehouse Pipelines Warehouse Python SMTP Outlook Activity Microsoft Fabric

Big Data Engineer

Chapter247 Infotech

Loaded 10000+ CSV and Excel files into a specific schema in an SQL database. Created master metadata tables and used spaCy, NLTK, and TF-IDF vectorizer for query handling.

S3 Python SQL PySpark SMTP MongoDB SpaCy NLTK TF IDF

Data Engineer / Analyst

Chapter247 Infotech

Integrated Zenoti, Meta, and Google APIs to store historical data in Acho.io. Created transformation SQL scripts in Data Prep, built on Google BigQuery, and designed pipelines from BigQuery to PostgreSQL.

GBQ Acho SQL JavaScript PostgreSQL Python Data Preparation BigQuery