---
title: "Ashish Agnihotri - Software/Data Engineering Consultant in Bengaluru | Tal"
description: "Meet Ashish Agnihotri, Consultant @ Deloitte SEA | Azure Certified | 4+ YOE | Java, Python, Node.js, C#, Databricks, Azure Data Factory, Power BI, RPA, AWS based in Bengaluru. AI stack includes codex and cursor."
image: "https://tal.club/meet/ashish-agnihotri/share-image"
---

# Ashish Agnihotri on Tal

## Headline

Consultant @ Deloitte SEA \| Azure Certified \| 4\+ YOE \| Java, Python, Node\.js, C\#, Databricks, Azure Data Factory, Power BI, RPA, AWS

## About

I’m a results\-driven Software & Data Engineer with 4\+ years of experience in building scalable backend systems, automating enterprise workflows, and designing robust data pipelines using modern cloud technologies\. ✅ Core Strengths Backend Development: Java, Python, Node\.js, C\# Data Engineering: Azure Data Factory, Databricks, PySpark, Delta Lake, SQL Automation & RPA: Selenium, \.NET, Azure Functions, AWS Lambda Cloud Platforms: Microsoft Azure, AWS, Azure DevOps Business Impact: Delivered \\$3\.16M in annual savings, improved job reliability by 3x, and reduced system latency by 40% 🛠 Recent Projects Deloitte: Built high\-throughput ETL pipelines from SAP SuccessFactors to Databricks, automated 50\+ workflows with Azure CI/CD, secured data using RBAC and column\-level masking Amazon: Led RPA automation using \.NET and Selenium for Coupa workflows, saving 12,500\+ hours/year, and trained 25\+ engineers via internal bootcamp BlueOptima: Migrated Azure SDK to REST APIs, improved data efficiency by 65%, and drove $500K in revenue impact in one week 💡 I’m passionate about clean architecture, automation, and end\-to\-end system ownership\. Let’s Connect 🔗 GitHub: https://github\.com/Ashish1323 🔗 LeetCode: https://leetcode\.com/Ashish1323/ 🔗 Portfolio: https://ashishportfolio\.netlify\.app/ 🔗 LinkedIn: https://linkedin\.com/in/ashishagnihotri23 📌 Keywords for Visibility Java, Python, C\#, JavaScript, Node\.js, React, Azure Data Factory, Databricks, Delta Lake, PostgreSQL, MongoDB, SQL, NoSQL, RPA, CI/CD, Power BI, AWS, Azure Functions, Event Grid, Service Bus, Stripe, Oracle ERP, ETL Pipelines

## Location

Bengaluru

## AI stack

codex

cursor

## Work experience

Software/Data Engineering Consultant at Deloitte, Mar 2024 \- Present · 2 yrs 6 mos, Singapore, • Pacific International Lines \- Architected high\-throughput XML ingestion pipelines \(PySpark, Databricks, ADF\) processing 5M\+ records/day with 99\.9% uptime, 40% lower latency, and custom pagination/XML parsing\. • Automated 50\+ notebooks/workflows via a unified Azure DevOps CI/CD pipeline, cutting release time 120→15 mins, eliminating 90% of deployment failures, and adding retry logic, alerting, and failure isolation across 20\+ jobs\. • Engineered 6 Booking pipelines, resolving 200\+ merge/duplicate issues, improving incremental\-data accuracy to 95%, and validating 100M\+ records across UAT/Release\. • Delivered the Market Landscape analytics layer integrating Alphaliner, CTS Tier 4/5, Accenture Cargo, SCFI, CCFI; modeled 7 fact tables in PySpark/Databricks with region, carrier, commodity, and port enrichment for commercial analytics\. • Validated KPIs for PIL volume, market share, carrier capacity, YoY trends by reconciling Bronze→Silver→Power BI outputs and aligning semantic\-model results with business\-approved definitions to unblock SIT/UAT sign\-off\. • Resolved 10\+ Power BI semantic\-model failures with 100% refresh success, secured 15\+ sensitive datasets via RBAC/masking, and ensured 100% alert reliability for 150\+ daily alerts\. • International Baccalaureate \- Orchestrated a scalable ETL solution using C\#, ADF, Azure Functions, Service Bus, Event Grid, Logic Apps, integrating Stripe, Oracle ERP, Canopy, Azure SQL/Blob Storage to automate financial workflows; improved extraction/loading efficiency by 40% and reduced latency by 25%\. • Launched a unified Payment Processing Dashboard syncing Ibis and Oracle Financial Cloud data; optimized SQL indexes and implemented geo\-redundant backups to resolve a Severity\-1 production incident and reduce backlog by 60%\.

SDE at Amazon, Feb 2023 \- Oct 2023 · 9 mos, Hyderabad, Telangana, India, \. Became a part of Amazon's pioneering Inhouse RPA Solution, valued at £1\.3 billion in 2019\. \. Automated Amazon's Coupa Portal, resulting in a remarkable saving of 7,500 working hours, equivalent to £1\.86 million\. \. Organised and hosted the inaugural RPA dev Bootcamp exclusively for Amazon, held at the Bangalore Office, providing comprehensive training to approximately 25 developers\.

Graduate Software Engineer at BlueOptima, Jan 2022 \- Jan 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India, \- Led Azure TT Migration From SDK to APIs, created Design's to handle data for Azure server's and cloud\. \- Found out major data inconsistency in Azure APIs and saved future data for 100\+ companies\. \- Abstracted OS design for Blueoptima Installer, which saved 120,000 USD every quarter\.

## Education

BTech \- Bachelor of Technology, Computer Science, Dayananda Sagar University

12TH, Science PCM, City Engineering College, Bangalore

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

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