---
title: "Aditi Upadhyay - Digital Manufacturing Engineer in Bengaluru | Tal"
description: "Meet Aditi Upadhyay, Digital Manufacturing Engineer @ Ather Energy based in Bengaluru. AI stack includes claude code, gemini, and github copilot."
image: "https://tal.club/meet/aditi-upadhyay/share-image"
---

# Aditi Upadhyay on Tal

## Headline

Digital Manufacturing Engineer @ Ather Energy

## Location

Bengaluru

## AI stack

claude code

gemini

github copilot

lovable

openai

## Work experience

Digital Manufacturing Engineer at Ather Energy, Aug 2025 \- Present · 1 y 2 mo, On\-site, • Architected Python\-based ETL pipelines ingesting real\-time data from edge devices and plant systems into a central SQL database — enabling live visibility of operational parameters across production lines with full data lineage and audit traceability\. • Owned database administration across multiple SQL Server instances — monitored storage utilisation, optimised query performance, enforced data health checks, and orchestrated conditional cross\-server data movement governed by configurable business logic rules — maintaining clean, reconciled, audit\-ready reporting layers with clear source\-to\-target lineage\. • Engineered TBM \(Time\-Based Maintenance\) and CBM \(Counter\-Based Maintenance\) predictive maintenance systems using SAP APIs, OPC/Kepware tags, and SQL — enabling condition\-based triggers for shopfloor machines and reducing unplanned downtime through data\-driven maintenance scheduling\. • Designed and deployed operational dashboards \(OLE, MTTR, MTBF, scrap rates, WIP count\) on PowerBI and Metabase — translating raw pipeline data into consistent, governed insights for engineering and ops stakeholders\. • Built a real\-time dashboard flashing tracker for operators — identifies the next\-up vehicle in the assembly line via live data tag reads, matches dashboards to vehicles from master data, surfaces aging dashboards flagged for refresh or dispatch, and tracks live WIP count across stages\. • Developed an AI\-powered internal chatbot on Databricks Tool Genie for natural language querying over large operational datasets — enabling self\-serve analytics for non\-technical stakeholders\. • Engineered a \.NET \+ SQL Stored Procedure API integrating two enterprise systems to automate order lifecycle management and trigger downstream workflows on approval\. • Designed REST API integrations with Jira and MQ systems to programmatically generate issue IDs and trigger workflow actions — eliminating manual cross\-system data entry\.

Backend Engineer at PayNearby Technologies Pvt\. Ltd\., Jun 2025 \- Aug 2025 · 2 mo, Virtual, • Built TARS — a Python\-based automated ticket creation and approval platform that autonomously executes downstream actions post\-approval \(database provisioning, schema creation, access grants\)\. • Implemented dependency injection and modular service architecture; containerised using Docker, integrated Alfred Manager for orchestration and Metabase for operational dashboards\. • Wrote unit tests covering core ticket lifecycle flows, catching edge cases in approval routing logic and improving system reliability

Digital Manufacturing Engineer at Ather Energy, Jan 2025 \- Jul 2025 · 6 mo, Bengaluru, Karnataka, India, • Built a Flask \+ SQL interactive dashboard with real\-time statistical visualisation \(Cp/Cpk\) — cut manual reporting time by 90% and enabled 40% faster issue triage\. • Performed root cause analysis on large operational datasets, identifying top failure patterns and bottleneck stages — driving an optimisation strategy projected to improve accuracy by 25%\. • Automated station\-level failure reporting with enhanced classification labels, delivering 40% faster issue triage across the team

Analytics Insight Launchpad Program at PwC, Feb 2024 \- Jun 2024 · 5 mos, Virtual

## Education

B\.Tech \- Cse with specialization in Software Engineering, SRMIST, Kattankulathur, Chennai ,Tamil Nadu

12th, CBSE, Jagran Public School , Lucknow

[View the original profile](https://tal.club/meet/aditi-upadhyay)

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