Finance Data Pipeline
Open-source data pipeline used by Meta and eBay developers to comply with India's MCA Amended Rule 3(5), automatically extracting all NetSuite GL posting transactions to S3 and Postgres.
Open-source data pipeline used by Meta and eBay developers to comply with India's MCA Amended Rule 3(5), automatically extracting all NetSuite GL posting transactions to S3 and Postgres.
Automated $3B+ of acquire-to-retire lifecycle across BOM, MRP, SCM, and ERP, tracking, calculating, and capitalizing an asset's COGS and CAPEX from procurement to deployment and disposal with serial-level traceability.
Built internal tool as source of truth and system of record to store, track, and manage the entire data center planning and execution lifecycle for 3GW+ of compute, serving 200+ daily active users.
Automated $5B+ ARR Quote-to-Cash data pipelines across Salesforce opportunity to NetSuite ASC 606, Stripe B2B/B2C usage billing, Avalara tax, and Snowflake for business intelligence data warehouse.
Configured $30M+ P2P and T&E workflows to earn $50K rebates per year, enable 500+ employees to self-service corporate spending, and automate multi-currency and subsidiary reconciliation.
Led 4 financial audits, 1 IRS examination, and 1 M&A for 80+ in-scope applications across SDLC change management, fine-grained RBAC, separation of duties scanning, and automated quarterly UAR.
When we expanded to audit digital asset and cryptocurrency, Micheal developed auditing tools that allowed us to greatly increase efficiency while complying with professional standards.
Micheal has a charismatic approach to leadership and just needs to take advantage of this trait.
Micheal could sell a f*cking mirror to a blind man.
Micheal could get to the root of an issue where other people couldn’t.
To me, being “likable” is actually a culmination of many things — but the reason why Micheal is that way is because he is very agreeable, and easy to work with.
Micheal is by far the best system person.
Many pick sides: finance or engineering.
I never did. I live in the gap between those who close the books and those who ship code.
I’m an engineer with expertise in process transformation — as fluent in debits and credits as I am in Python and SQL. Building data pipelines that pull usage data out of a bastion-hosted AWS RDS Postgres and post its GL impact to an ERP is genuinely my idea of fun!
I got my start automating Finance and Accounting workflows across Quote-to-Cash, Procure-to-Pay, and Acquire-to-Retire. I’ve since expanded into Hire-to-Retire and data center capacity planning.
My work centers on defining and standardizing processes, then leading the optimization iterations to scale them through internal tools, integrations, and automations.
My strength is striking the right balance between automation and compliance.
I love sharing what I know! All thoughts, insights, and stories are my own.
Curious what it’s like to work with me? Check my LinkedIn recommendations or just ping me for referrals!