Principal Database Engineer Austin, TX

Mayank Sethi.

Seventeen years building enterprise data infrastructure at the institutions where downtime is measured in millions.

Mayank Sethi
PRTR_001 / 2026 ● REC
Currently Group1001 — Zionsville, IN
Specialization Enterprise data & database engineering
Available for Talks, advisory, papers
Local time -- CST
01 / About Engineer's note

Building data systems where downtime isn't an option.

Located Austin, Texas Discipline Database architecture · Cloud security automation · AI governance

Mayank Sethi is a Principal Database Engineer working at the intersection of enterprise data infrastructure and the financial institutions that depend on it. Over seventeen years, he has built and governed critical data platforms at two of the most demanding firms in fixed-income and asset management — PIMCO, one of the world's largest fixed-income managers, and Group1001, an $80 billion insurance and asset management enterprise.

His work lives where database architecture meets cloud security automation and AI-driven governance. He has originated SCALER, a novel framework for credential lifecycle automation; published peer-reviewed research in the American Journal of Technology; and shipped production systems governing hundreds of thousands of sensitive data columns.

He writes about what actually breaks at scale — and the patterns engineers use to keep it from breaking again.

0+
Years in production data systems
Fixed-income, insurance, asset management
0
Columns under AI classification
PII / SPI governance across 40+ source systems
0PB
Data infrastructure managed
Snowflake, Exadata, Oracle Fusion, Neo4j
02 / Experience Seventeen years

Inside the engine rooms of finance.

2024 → present
Group1001
$80B insurance & asset management — Zionsville, IN

Principal Database Engineer

Snowflake platform · Credential lifecycle automation · AI governance
  • Architected the firm's Snowflake platform from ground-up — 200+ users, 90+ databases, 1,100+ schemas.
  • Originated the SCALER framework for enterprise credential lifecycle management; deployed to 1,000+ service accounts, zero incidents to date.
  • Designed an AI-driven PII/SPI classification system governing 950,000 columns across 40+ source systems.
  • Improved CIS benchmark compliance from 48% → 92% across the platform.
  • Led Oracle Fusion decommissioning: 450,000+ business attachments migrated without business interruption.
2019 → 2024
PIMCO
One of the world's largest fixed-income investment managers

Senior Database Engineer

Snowflake SME · Tech Lead · 3 PB of historical data · 170+ apps
  • Established firm-wide Snowflake SME function; managed 3 PB of historical data across 170+ application teams executing millions of daily queries.
  • Led Snowflake cost optimization campaign across 21 app teams — reduced XL+ warehouse spend from $1,300/day → under $200/day, delivering $500K+ in annual savings.
  • Engineered HVR environment refresh using zero-copy cloning, cutting refresh time from 36 hours → 45 minutes$120K/year in compute savings.
  • Built ServiceNow automation handling 75% of cloud team tickets (1,500+ requests/year), saving 500+ person-hours annually.
  • Supported Sybase IQ decommissioning through 20+ training sessions and purpose-built utilities — enabling $1.5M in infrastructure and licensing savings.
03 / Original framework Peer-reviewed

A finite-state machine for credential lifecycle.

The SCALER
Framework.

Service Credential Automation Lifecycle for Enterprise Resilience.

Most enterprises manage database credentials reactively — rotated after incidents, tracked in spreadsheets, governed by manual checklists.

SCALER is a formal state-machine model that treats credential lifecycle as a first-class engineering problem. Provision → activate → rotate → audit → retire — each transition observable, automated, and idempotent.

Designed and deployed at Group1001, SCALER now governs 1,000+ service accounts across 150+ application teams. Integrated with ServiceNow for automated lifecycle workflows. Zero production incidents to date.

Published — American Journal of Technology (GPR Journals), 2025
05 STATES Provision Activate Rotate Audit Retire
04 / Featured work Shipped to production

Frameworks and systems shipped to production.

/ 01 Production

AI-Driven Data Classification & Dynamic Masking

Production classification pipeline spanning 950,000 columns across 40+ source systems. Cortex ML + rules engine tags columns automatically; dynamic masking enforces policies at query time. Ships with a React/FastAPI governance app for human overrides and audit trails.

StackCortex · Dagster · React · FastAPI
Scale950K columns
StatusIn production
/ 02 Migration

Exadata Consolidation

Led enterprise-wide Oracle Exadata consolidation at PIMCO — decommissioning 200+ physical database servers and migrating workloads to a consolidated Exadata architecture. Zero downtime across critical risk and portfolio systems.

StackOracle Exadata · ASM
Savings$2M+ annually
Downtime0 minutes
/ 03 Open source

Stock Signal AI

Open-source multi-source financial signal pipeline. Aggregates technical indicators, news sentiment, social media, congressional disclosures, and earnings data. Novel latency budget framework and two-tier deduplication.

StackPython · SQL · LLM
LicenseMIT
05 / Writing Selected publications

Research, frameworks, and field notes.

06 / Connect Selectively open

Let's
connect.

Selectively open to conversations about enterprise data architecture, speaking invitations, and advisory discussions in financial data infrastructure.

If you're building something at scale — and hitting hard problems — let's talk.