Rahul Panday

CTO

Redmond, Washington, United States16 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable software solutions.
Proven track record in multi-tenant architecture design.
Strong leadership in cross-functional project teams.

Stackforce AI infers this person is a SaaS and Database expert with a focus on scalable architectures.

Contact

Skills

Core Skills

System ArchitectureCommunicationAsp.netC#Mvc .netMs SqlJavascriptDatabase Optimization

Other Skills

Computer ScienceWeb APIAzure PipelinesAzure Data Lake (ADL)Azure blob storeAzure CosmosDb (docdb)Kusto (logging)ReactAADPowershellSQL Server Analysis ServiceODataMSTestNUnitREST APIs

About

Rahul has been involved in building softwares that work. He is currently working as a full-stack developer. He is experienced in taking projects from adhoc requirements to completion using different programming tools & technologies. He focuses on the basics of writing readable & maintainable code, writing tests and open collaboration with team. He has a good experience of working with teams, leading teams, working individually and remotely on various projects. He is not tied to particular languages or frameworks and believes in learning & delivering. He is keen to explore opportunities where he can work on distributed systems, horizontally scalable architectures or machine learning. Github link - https://github.com/rpanday

Experience

16 yrs 6 mos

Total Experience

5 yrs 6 mos

Average Tenure

6 yrs 11 mos

Current Experience

Microsoft

3 roles

Principal Technical Lead

Oct 2022 – Present · 3 yrs 8 mos

System ArchitectureComputer ScienceCommunication

Principal Technical Lead

Promoted

Mar 2022 – Oct 2022 · 7 mos

System ArchitectureComputer Science

Senior Software Engineer

Jul 2019 – Apr 2022 · 2 yrs 9 mos

Working on the platform team of Workplace Analytics (WPA) under Office365 https://www.microsoft.com/microsoft-365/partners/workplaceanalytics
Designed & developed a privacy-compliant, scalable & COGS-friendly telemetry feature to compute monthly analyzed users. Savings: Time from 6-hours to under 10 seconds, COGS in-order of 100x.
Designed & developed the multi-tenant architecture for the WW launch of WPA under the Office365 suite. The scale is millions of users & lakhs of customers. The project was spread across 4 different Microsoft product teams & had challenges wrt to compliance, scale, flighting, (de)provisioning & logging.
Improvements on Org data upload pipeline in WPA
As part of the WPA EngSys team took on DevOps responsibilities like production deployment, build & release pipelines, test automation.
Technologies used are ASP.NET, Web API, C#, Azure Pipelines, Azure Data Lake (ADL), Azure blob store, Azure CosmosDb (docdb), Kusto (logging), React (basic), AAD, Powershell (basic), SQL Server Analysis Service (basic), OData (basic), MSTest, NUnit, REST APIs, Azure Functions (basic).

ASP.NETWeb APIC#Azure PipelinesAzure Data Lake (ADL)Azure blob store+11

Knoema

Senior Software Engineer

Apr 2011 – Jun 2019 · 8 yrs 2 mos

Designed and developed the backend Analytics engine which helps management & sales teams take internal growth decisions. Analytics data was made available in MS Excel via ODBC connection to secure Redshift clusters.
Designed and Developed dashboard layout engine used for displaying visualizations and worked on variety of non-trivial visualizations like Pivot Tables, Polar Charts, Bubble charts, Infocards etc.
Designed and Developed Publication feature for syncing datasets across Knoema portals. This feature delivers value by providing latest available data to our Enterprise customers.
Designed and Developed update feature for Knoema appliances to seamlessly deliver one-click application and database updates to clients without disrupting their installation efforts.
Designed and Developed “Knoema Data Finder” addon for Excel, Excel 365 & Google Sheets, available in Windows office store and Google Drive store. These addons were critical in gaining exposure on various platforms for Knoema.
Designed and Developed Replication feature for syncing datasets to Knoema appliances running on client local networks. This is the opposite of Publication and uses a pull request from appliances.
Designed and Developed Export of visualizations to various file formats like XLSX, PPTX, PDF, PNG, CSV. It is the most used feature and leads to maximum signups for Knoema.
Did SEO & Amp improvements which increased traffic from Google Search and Google Dataset Search to half a million per month on average.
Interviewed and trained new developers in team, involved in daily code reviews, specifications review and delivering KTs. Managed daily production updates, bug triaging and beta releases. Continuous deployment system ensured fixes are pushed to production sooner.
Technologies used are MVC .NET, C#, MS SQL, Redshift, Javascript, JQuery, Typescript, Windows Service, Amazon S3, AWS Lambda, Google App Script, IIS Server, REST APIs and OAuth 2.0.

MVC .NETC#MS SQLRedshiftJavascriptJQuery+8

I-maritime consultancy private limited

Consultant Intern

Dec 2010 – Mar 2011 · 3 mos

Did Market study and financial modelling to asses economic viability of client’s venture on various projects. I got selected to work there under the Young CEO program.

Sybase india pvt. ltd.

S/W Eng Dev

Jul 2009 – Dec 2010 · 1 yr 5 mos

Query Performance and Optimization in Database and Data Warehousing products
Projects done: Algorithm to transform a set of predicates to Multicolumn IN transform, Algorithm to efficiently scan columns for predicate execution, Distributed queries involving LIKE predicates and Order By
All these projects were for a new release of Sybase IQ (codename: WhiteKnucles). These projects involved the task of performance improvement and new feature/ algorithm development. The development platform used was Sun Solaris/unix and language used was C++. Each of these projects gave a performance improvement from 10% to 30% compared to previous release of Sybase IQ.

Database OptimizationAlgorithm Development

Yahoo! india

Intern

May 2008 – Jul 2008 · 2 mos

Implemented an “Automatic Data Record Extractor for Web Pages” which can be used by the company to automatically index web content for its search engine. This extractor worked for shopping and travel pages with 60% correctness.