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Ayush Lokhande

Jr Data Engineer @ Intelebee | Python | SQL | Spark | Databricks | Azure & AWS | Data Pipelines & LLMs

Bhopal

1+ year of work experience

Intelebee
Jun 20251 yr 1 moPresent

Austin, Texas, United States

Built and maintained ETL pipelines using Azure Data Factory, Databricks (PySpark), SQL Server for high-volume retail data (Toast POS, GP , BigCommerce). Automated financial reconciliation (Net Sales, Discounts, Tips, Dining Options) with Python, Pandas, and Slack alerts, reducing manual effort and error rates. Developed LLM-powered internal assistant integrating GPT, SQL, and REST APIs to enable natural language queries on sales, product, and payment data. Migrated EEG analytics system (Biormika HFO Detector) from desktop app to a serverless AWS solution with Lambda, API Gateway, S3, and Step Functions. Optimized Azure cloud workflows (Function Apps, Service Bus, Cosmos DB), resolving dead-letter queue (DLQ) issues and improving system reliability. Created data quality validation scripts ensuring accuracy and consistency between source systems (Toast vs EDW vs GP). Worked with data visualization tools (Power BI, dashboards) to deliver insights for business and operations teams. Implemented CI/CD practices for Python/SQL scripts with GitHub, improving deployment speed and collaboration. Hands-on with cloud monitoring tools (Azure Monitor, Application Insights, AWS CloudWatch) for debugging and performance tracking.

Ayush’s AI Stack

codex
codex
dalle
dalle
deepmind
deepmind
llava
llava

Education

Sage university bhopal

Bachelor of Technology - BTech, Artificial Intelligence

Sage university bhopal

20214 yrs2025

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Headline

Jr Data Engineer @ Intelebee | Python | SQL | Spark | Databricks | Azure & AWS | Data Pipelines & LLMs

Location

Bhopal

AI stack

codex

dalle

deepmind

llava

Work experience

Junior Data Engineer at Intelebee, Jun 2025 - Present · 1 yr 1 mo, Austin, Texas, United States, Built and maintained ETL pipelines using Azure Data Factory, Databricks (PySpark), SQL Server for high-volume retail data (Toast POS, GP , BigCommerce). Automated financial reconciliation (Net Sales, Discounts, Tips, Dining Options) with Python, Pandas, and Slack alerts, reducing manual effort and error rates. Developed LLM-powered internal assistant integrating GPT, SQL, and REST APIs to enable natural language queries on sales, product, and payment data. Migrated EEG analytics system (Biormika HFO Detector) from desktop app to a serverless AWS solution with Lambda, API Gateway, S3, and Step Functions. Optimized Azure cloud workflows (Function Apps, Service Bus, Cosmos DB), resolving dead-letter queue (DLQ) issues and improving system reliability. Created data quality validation scripts ensuring accuracy and consistency between source systems (Toast vs EDW vs GP). Worked with data visualization tools (Power BI, dashboards) to deliver insights for business and operations teams. Implemented CI/CD practices for Python/SQL scripts with GitHub, improving deployment speed and collaboration. Hands-on with cloud monitoring tools (Azure Monitor, Application Insights, AWS CloudWatch) for debugging and performance tracking.

Education

Bachelor of Technology - BTech, Artificial Intelligence, Sage university bhopal

Ayush Lokhande - Junior Data Engineer in Bhopal | Tal