Audited Production Track Record
·
7 Enterprise Case Studies
·
20+ Years Principal Pedigree
Verified Engineering Outcomes Under Extreme Enterprise Load.
Every architectural blueprint in the Archeon Cloud Engine (ACE) was forged solving mission-critical problems for global telecoms, national rail operators, Tier-1 investment banks, private equity carve-outs, and sovereign governments.
Telecommunications & DPI Intelligence
Türk Telekom · 50M+ Subscribers
Ingesting 20.5 Billion Daily Records at ~300,000 Records/Sec Under an 80 MB RAM Ceiling
National Deep Packet Inspection (DPI) and subscriber network probes across 50M+ subscribers generated more than 200,000 raw files per day (~20.5 billion records).
Traditional JVM/Spark ingestion clusters suffered from severe garbage-collection pauses, out-of-memory failures, and bloated 14.5-hour daily batch extract-and-load (EL) windows.
Principal Architecture & Open IP Deployed
- PyArrow C++ Zero-Copy Streaming Core: Replaced heavy JVM workers with a custom stateful C++/PyArrow micro-batch Parquet writer sustaining ~300,000 records/sec per worker while bounding memory strictly below 80 MB RAM.
- Hybrid Data Vault 2.0 + Kimball Lakehouse: Architected an auditable Raw & Business Data Vault paired with dimensional Kimball marts using
dbt, AutomateDV, and our open-source automate-dv-kimball package.
- Loop Engineering & FastMCP Developer OS: Embedded custom FastMCP servers and agentic coding workflows across Claude Code, Cursor, and Gemini CLI to automate pipeline generation and validation.
~300,000/s
Sustained records/sec per worker under <80 MB RAM
14.5h → 3.5h
4x faster daily EL load window across 200k files/day
1/10th Cost
90% lower CPU & memory footprint vs. Apache Spark
10x & ~60%
10x developer velocity & ~60% faster engineer onboarding
Python & PyArrow C++
Polars & DuckDB
dbt Data Vault 2.0
automate-dv-kimball
FastMCP & Loop Engineering
Scope Track 01
Industrial IoT, Rail & Predictive Maintenance
Siemens Mobility · £1.6B UK Rail Contract
Scaling UK National Rail IIoT Telemetry by 400% (50M+ Daily Sensor Files) Across 60+ AWS Microservices
Under a £1.6B UK rolling-stock maintenance and digital-twin program, high-frequency onboard train sensors transmitted tens of millions of complex nested JSONL diagnostic payloads daily.
The platform needed to scale ingestion throughput by 4x without dropping safety-critical fault events or breaching strict AWS budgets.
Principal Architecture & Engineering Execution
- Event-Driven AWS IIoT Platform: Engineered an elastic ingestion and processing fabric across AWS IoT Core, Kinesis Data Streams, AWS Lambda, ECS, S3, and Snowflake spanning 60+ production microservices.
- Snowflake Data Vault 2.0 Digital Twin Store: Designed an auditable Data Vault 2.0 model absorbing asynchronous, multi-version train sensor schemas into unified fleet health views.
- Infrastructure-as-Code Standardization: Codified the entire multi-account AWS topology and CI/CD pipelines in Terraform for deterministic multi-environment promotion.
50M+ / day
High-frequency IIoT sensor JSONL files processed daily
400% Scale
4x ingestion & processing capacity expansion
60+ Services
Production AWS microservices orchestrated via Terraform
£1.6B Fleet
Mission-critical UK rail predictive maintenance program
AWS IoT Core & Kinesis
AWS Lambda & ECS
Snowflake Data Vault 2.0
Terraform
Python
Scope a 4-Week Proof Sprint
Private Equity Carve-Out, DevSecOps & Cloud FinOps
Yahoo Inc. · $5B Apollo Global M&A
Accelerating Regulated Production Releases 1,000x (6 Weeks to 6 Minutes) & Recovering ~22% Cloud Spend
During Yahoo's $5B private equity acquisition and infrastructure carve-out, strict enterprise InfoSec accreditation gates required up to 6 weeks of manual review per release, while fragmented multi-tenant cloud accounts obscured ~22% of unattributed infrastructure spend.
Principal Architecture & DevSecOps Factory
- Security-Accredited Golden AMI Factory: Engineered automated HashiCorp Packer, Terraform, and Jenkins pipelines that baked CIS hardening, vulnerability scanning, and InfoSec cryptographic attestation directly into immutable machine images.
- 1,000x Release Acceleration: By pre-accrediting the Golden AMI build pipeline with InfoSec, production deployments dropped from 6 weeks to 6 minutes.
- Cloud FinOps & Attribution Telemetry: Implemented automated cost-allocation tagging and workload rightsizing across AWS accounts, recovering ~22% in previously unattributed cloud spend.
6w → 6m
1,000x faster security-accredited production deployments
~22% Saved
Unattributed AWS spend recovered via FinOps telemetry
$5B M&A
Post-merger cloud carve-out & compliance separation
100% Immutable
Zero configuration drift via Packer Golden AMIs
AWS EC2 / ASG / IAM
HashiCorp Packer
Terraform
Jenkins CI/CD
Cloud FinOps
Book an Executive Advisory Call
Global Retail Data Modernization
LC Waikiki · Global Fashion Retailer (1,000+ Stores)
Eliminating 100% of Warehouse Batch Crashes by Refactoring 15,000+ Lines of Legacy T-SQL into dbt, DuckDB & Polars
Overnight merchandising, inventory allocation, and omnichannel sales pipelines relied on more than 15,000 lines of deeply nested, undocumented T-SQL stored procedures.
Deadlocks, tempdb exhaustion, and silent schema failures regularly crashed overnight batches and delayed executive retail reporting.
Principal Architecture & Refactoring Execution
- Algorithmic SQL Decomposition: Parsed and refactored 15,000+ lines of monolithic T-SQL into modular, DAG-orchestrated
dbt models backed by high-speed DuckDB and Polars execution engines.
- Deterministic CI & Data Contracts: Introduced automated schema contracts, unit tests, and idempotent incremental materializations before any transformation reached production.
- Zero-Crash Operations: Achieved 100% elimination of recurring database batch crashes while dramatically reducing compute contention.
100%
Elimination of recurring overnight database crashes
15,000+ LOC
Legacy T-SQL refactored into modular dbt & Polars
30%+ Faster
End-to-end merchandising & BI pipeline completion
Full Lineage
Column-level auditability from ERP to executive marts
dbt Core
DuckDB
Polars
T-SQL Modernization
Kimball & Data Vault
Scope Track 02
Defense, Policing & UK Public Sector
Lockheed Martin (UK Met Police) & LB of Hackney
Executing an 80 TB Zero-Data-Loss Policing Intelligence Cutover & Municipal Cloud Data Platform
Mission-critical UK law enforcement intelligence systems operated under Lockheed Martin required migrating 80 TB of highly sensitive operational policing data with zero data loss and full chain-of-custody verification, alongside modernizing municipal analytics for the London Borough of Hackney.
Principal Architecture & Cutover Assurance
- Cryptographic Reconciliation Pipeline: Engineered automated pre- and post-migration row-hash and payload verification across 80 TB of structured and unstructured law-enforcement archives.
- Rehearsed Zero-Downtime Cutover: Executed staged dress rehearsals, delta synchronization, and deterministic cutover runbooks under UK Official-Sensitive security protocols.
- Public Sector Data Lake Modernization: Unified fragmented municipal housing, finance, and citizen services datasets into governed AWS analytics pipelines for London local government.
80 TB
Policing intelligence migrated with 0.00% data loss
100% Audit
Chain-of-custody cryptographic row reconciliation
UK Official
Delivered under strict law-enforcement security clearances
Zero Rollbacks
First-time-right cutover execution across all dress rehearsals
AWS Gov / UK Official
80 TB Data Cutover
Enterprise Databases
Automated Reconciliation
Scope a 4-Week Proof Sprint
Tier-1 Banking & Commercial Database FinOps
Bank of America Merrill Lynch · Türkiye İş Bankası · Enterprise Estates
Saving >£1,000,000/yr in Commercial Database Licensing (85% Core Reduction) & Governing 200+ Banking Servers
Tier-1 investment and commercial banks run sprawling estates of hundreds of Oracle Enterprise Edition and Microsoft SQL Server instances where virtualization sprawl triggers massive per-core audit liabilities while I/O bottlenecks throttle regulatory reporting.
Principal Architecture & Licensing FinOps
- Hard-Isolated Virtualization & Core Consolidation: Re-architected VMware ESXi and dedicated host cluster topologies with strict CPU affinity and storage I/O tuning, cutting licensed commercial database cores by 85% and saving >£1,000,000 per year.
- 200+ Server Fleet Automation: Standardized high-availability clustering, automated failover, and regulatory ETL across 200+ production database servers at Bank of America Merrill Lynch and Türkiye İş Bankası.
- Sub-Millisecond Query & I/O Engineering: Eliminated storage subsystem contention so reduced-core clusters outperformed the legacy over-provisioned estate.
>£1.0M / yr
Audited recurring Oracle EE licensing savings
85% Cut
Reduction in billable commercial processor cores
200+ Servers
Tier-1 investment & commercial banking fleet governed
SOX / PCI-DSS
Full regulatory audit compliance across all environments
Oracle EE FinOps
SQL Server (200+ Fleet)
ESXi / Dedicated Hosts
Storage I/O Tuning
Scope Track 04
Sovereign Revenue Authorities & Customs Platforms
Techno Brain Group · Crown Agents
Scaling National Tax & Customs Data Platforms 19x With a 900% Transaction Throughput Boost
National revenue authorities and customs modernisation programs across emerging markets faced severe database locking and batch timeouts during statutory tax-filing peaks, threatening national revenue collection SLAs.
Principal Architecture & Throughput Engineering
- Partitioned High-Concurrency Architecture: Redesigned core tax, customs, and public-finance database schemas, indexing strategies, and partitioning layouts to eliminate lock escalation.
- 19x Platform Scale & 900% Throughput Gain: Expanded concurrent taxpayer and customs transaction capacity by 19x while accelerating end-to-end transaction processing by 900%.
- Executive Revenue Intelligence: Built automated BI and fraud-detection data warehouses giving Ministries of Finance real-time visibility into national customs and tax collections.
19x Scale
Expansion in national tax & customs platform capacity
900% Boost
Increase in peak concurrent transaction throughput
Sovereign
National revenue & customs authority deployments
Real-Time BI
Automated fraud detection & treasury dashboards
High-Concurrency DBs
Table Partitioning
Enterprise Data Warehousing
Sovereign GovTech
Scope a 4-Week Proof Sprint
