Ashish Agnihotri profile photo 1 on Tal

Ashish Agnihotri

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

Bengaluru

4+ years of work experience

Deloitte
Mar 20242 yrs 6 mosPresent

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%.
Amazon
Feb 20239 mosOct 2023

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.
BlueOptima
Jan 20221 yr 1 moJan 2023

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.

Ashish’s AI Stack

codex
codex
cursor
cursor

Education

Dayananda Sagar University

BTech - Bachelor of Technology, Computer Science

Dayananda Sagar University

20184 yrs2022
City Engineering College, Bangalore

12TH, Science PCM

City Engineering College, Bangalore

20171 yr2018

Join Ashish and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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