Senior Data Architect @ AWS Professional Services

_{Also known as: Vaquar Khan | Viquar Khan}

AWS | GCP | AZURE | PCF | Microservices | Big Data | Apache Spark | GenAI & Agentic AI | ML/AI SME | Polyglot Developer | Architect | Technology Evangelist

📦 400,000+ PyPI downloads

426,709 all-time downloads across MCP-Bastion and MCP Test Harness. PePy total, summed across every package.

Product	Packages	PePy all-time total	Snapshot
MCP-Bastion	26	216,483	24 Oct 2026
MCP Test Harness	26	210,226	12 Aug 2026
Combined	52	426,709

This is a sum of package downloads. Installing an integration also downloads the core package, so it is not 400,000 unique installs.

🔬 ORCID, arXiv, and Zenodo

Record	What it is	Link
ORCID	Viquar Khan, 0009-0008-3592-4162	orcid.org/0009-0008-3592-4162
arXiv:2608.14643	Proof-Gated Publication: Verify-Before-Commit Content Integrity for Serverless Data-Mesh Lakehouses (11 Aug 2026)	abs · pdf · DOI
Zenodo - Fulcrum / RVx	Fulcrum: Quantitative, Governed Granularity for Microservice Boundaries with the RVx Index	10.5281/zenodo.23284522
Zenodo - Microservices Recipes	Microservices Recipes: The Architect's Field Guide	10.5281/zenodo.22654421
Zenodo - Mobility	Decentralized Mobility-Based Loyalty Systems	10.5281/zenodo.22273115
Fulcrum / RVx	Research site for the granularity paper	vaquarkhan.github.io/fulcrum-rxy

Va_ⁱquar Khan - Senior Data Architect at AWS Professional Services in Chicago, IEEE Senior Member, with work in finance and data since 2004. Public roles run through HSBC, JPMorgan, Citi, CNA, and Synchrony, then AWS since August 2021. I design data, analytics, and GenAI systems for financial-industry customers, including capital markets, tri-party collateral, and enterprise data lakes.

As a polyglot developer skilled in Java, Scala, Python, and other languages, I specialize in large-scale distributed systems, cloud architecture, big data development, Generative AI & Agentic AI solutions using Amazon Bedrock, and AWS AI/ML solutions for highly competitive enterprise clients. On Stack Overflow the profile shows reputation 11,539, about 7.5 million people reached, 7 gold / 83 silver / 104 bronze badges, and 2,918 days visited. GitRanks places the profile in Legend 1, the top 1% worldwide, by stars (#15,694 of 1,669,787, 2,667 stars) and by followers (#12,955 of 2,527,903, 719 followers). That is a third-party tier, checked 18 Oct 2026. It is not an official GitHub rank, and it is not a claim to be the single #1 account.

• JSR 368 Expert Group Member: Approved 27 Sep 2014 as Viquar Mohammed Khan for Java Message Service 2.1. Spec lead and JCP PMO both voted yes. JCP record · nomination. On the expert list, two notes are the ones with a design choice in them:
  • 19 Dec 2014, JMS_SPEC-158. Nigel Deakin asked how to repair JMS 2.0, which had made Connection.close, Connection.stop, and Session.close illegal from a listener on its own connection. I agreed with the replacement text: the call may throw IllegalStateException or succeed and close, and AUTO_ACKNOWLEDGE still acknowledges the current message when onMessage() returns. I also said leave JMSContext.stop and JMSContext.close unchanged, so the simplified API stays unambiguous. Mail
  • 12 Sep 2015, JMS_SPEC-116. For flexible JMS message-driven beans I chose proposal B: one annotation per destination kind (JMSQueueListener, JMSDurableTopicListener, JMSNonDurableTopicListener) instead of one listener annotation plus a separate annotation for every activation property. Mail
• Apache Spark, contributing since 2013 and still active: Public work starts with the GitHub account opened on 6 February 2013. On the Spark dev list the record runs from a +1 on Spark 1.2.0 RC1 on 29 November 2014 (compiled binaries, all tests pass), through a +1 on Spark 2.4.2 in 2019, to a +1 on Spark 4.2.0-preview1 RC1 in 2026.
• Kafka KIPs and Spark proposals: Author of KIP-1267, KIP-1316, KIP-1317, KIP-1318, and a Spark Connect SPIP. On the KIP-1150 Diskless Topics vote I filed Inkless #494, #495, and #496, then carried the exactly-once questions into KIP-1164
• AWS AI/ML Expert: Designing intelligent data solutions with AWS AI services
• GenAI & Agentic AI SME: Architecting solutions with Amazon Bedrock, Bedrock Agents, and AgentCore
• Published packages: PyPI, Maven Central, npm, and GHCR. MCP-Bastion and MCP Test Harness together sum to 426,709 PePy downloads across 52 packages
• Stack Overflow: Reputation 11,539. About 7.5 million people reached. 7 gold, 83 silver, 104 bronze badges. Member 11 years, 6 months. 2,918 days visited. 86 posts edited, 812 votes cast, 6 helpful flags. Chicago, IL. Profile
• GitHub Recognition: 1,433 stars on this profile wiki. GitRanks (18 Oct 2026): Legend 1, top 1% worldwide by stars (#15,694 of 1,669,787, 2,667 stars) and by followers (#12,955 of 2,527,903, 719 followers). In the United States: stars #2,569 of 161,888, followers #2,506 of 293,554
• AWS Professional Services: Senior Data Architect. ORCID lists Amazon.com, Seattle, from August 2021
• Community projects: Apache Kafka POC has 245 stars and 93 forks. Microservices Recipes has 609 stars and 225 forks

These are design reviews: a failure mode, why it matters, and the public thread. Bare +1 votes are not listed.

Creator of original frameworks for distributed systems and data engineering:

The Vaquar Pattern (PVDM)™ core invariant:

commit_metadata ⟹ VRP = PASS

No Iceberg snapshot, Glue catalog update, or marketplace listing may proceed unless multiset verification passes for every committed chunk.

See the full Open Source Projects & Packages section below for detailed descriptions, install commands, and download stats.

Live sites for the projects. Each line is what the site is for.

📦 Published Packages

Registry	Package	Description	Install
	sparkrules v1.2.0	Drools-equivalent business rule engine for Python - DRL syntax, decision tables, adverse-action notices, Spark integration	pip install sparkrules
	genprm	Autonomous data engineering agent - generative process supervision, MCTS inference, RL fine-tuning for SQL/ETL self-correction. Source is on GitHub. Not currently listed on PyPI	genprm
	iceguard v1.0.0	Reliability library for Spark-on-AWS-Lambda - timeout rollback, checkpoints, orphan cleanup. Also on Docker (GHCR)	pip install iceguard
	veridata v0.1.0	Offline VRP verifier - tamper-evident reconciliation proofs for data pipelines	pip install veridata
	mcp-bastion-python	Core package. Ecosystem total 216,483 PePy downloads across 26 packages (24 Oct 2026). Core alone is about 26k	pip install mcp-bastion-python
	mcp-test-harness	Core package. Ecosystem total 210,226 PePy downloads across 26 packages (12 Aug 2026). Core alone is about 25k. Also on Docker (GHCR)	pip install mcp-test-harness
	@mcp-bastion/core	TypeScript/Node.js MCP security middleware	npm install @mcp-bastion/core
	ai-agent-java-sdk v0.1.0	Model-driven autonomous AI agent SDK for Java - zero-trust MCP security, Spring AI AgentCore integration	io.github.vaquarkhan:ai-agent-java-sdk-core
	aiv-gate	AI-powered PR integrity gate - density, design, dependency & invariant checks	io.github.vaquarkhan:aiv-gate
	aiv-cli	CLI companion for aiv-integrity-gate	io.github.vaquarkhan:aiv-cli

The business rule engine that Python was missing. Drools-style DRL syntax, explainable decisions, regulatory-grade audit trails - from laptop to lakehouse, no JVM required.

Key Features:

• 🎯 Drools-style DRL - same syntax, no JVM, Python-native
• 📊 Decision Tables - XLSX-style with hit policies (UNIQUE, FIRST, PRIORITY, COLLECT)
• ⚖️ Regulatory Compliance - ECOA/FCRA/GDPR Art 22 adverse-action notices
• 🔍 Data Quality + Profiling - built-in DQ checks + statistical profiling
• 🌐 FastAPI + Rules Workbench - browser-based Monaco DRL editor with LSP
• 🧪 Simulation Modes - shadow, counterfactual, coverage, chain
• ⚡ Performance - ~199K evals/sec, 840+ tests, 100% line coverage
• 🚀 Multi-Platform - AWS Glue, Databricks, GCP Dataproc, Azure Synapse, Kubernetes

Enterprise-grade security middleware for the Model Context Protocol - 100% local, <5ms overhead, 26 PyPI packages. Part of the 426,709 PePy download total across 52 MCP packages.

Problems Solved: Prompt injection & jailbreaks · PII leakage to LLMs · Runaway agents burning API budget · Unpredictable agentic behavior

Features: Meta PromptGuard · Microsoft Presidio PII redaction · Token budget & rate limiting · Infinite loop protection · RBAC · Schema validation · Replay guard · Cost tracker · Semantic cache · Audit logging

Framework Integrations: LangChain · OpenAI · Anthropic · Amazon Bedrock · Google Vertex AI · Cohere · Mistral · Hugging Face · LlamaIndex · CrewAI · AutoGen · Semantic Kernel · Spring AI · FastMCP · and more

A vendor-neutral MCP governance gateway. An agent talks to Aegis. Aegis talks to Flink, Kafka, Spark, and Iceberg. 13 stars · 7 forks.

The gateway owns identity, authorization, approvals, egress, rate limits, circuit breaking, output redaction, and audit. Engines plug in through a small SPI and only contribute tool definitions plus the backend call. Read-only by default. A mutating tool stays unregistered until writes are unlocked and an approval token is presented. Adapters also cover Pulsar, NiFi, Hive, Hudi, Pinot, Druid, Airflow, Hadoop, HBase, Cassandra, Solr, Ranger, and Atlas.

Eliminates reviewer overload and low-quality PRs with automated density, design, dependency, and invariant gates.

Gates: Logic Density & Entropy · YAML Design Rules (forbidden/required patterns) · Import Validation vs pom.xml/requirements.txt · Property-based Invariant Tests · /aiv skip for urgent merges · Refactor exception · Trusted authors bypass

Production-grade skill registry for AI data engineering agents - 73 workflows, 14 platform presets, multi-agent packaging.

Lifecycle: /spec → /plan → /build → /validate → /review → /backfill → /ship

Platform Presets: AWS · Azure · GCP · Databricks · Snowflake · Alibaba Cloud · Informatica · Talend · Apache Spark · Flink · Airflow · Kafka · Iceberg

Agent Integrations: Cursor · Claude · Copilot · Kiro · Codex · OpenCode · Windsurf · AGENTS.md

Skill Coverage: Ingestion · Transformation · Orchestration · Streaming · Lakehouse · Warehousing · Governance · Quality · Modernization · Release · Incident Recovery · Platform Operations

AI agents often default to the shortest path - which is dangerous in data systems:

• ❌ Skipping specification and contract definition
• ❌ Treating a successful run as proof of correctness
• ❌ Ignoring replay, backfill, and consumer impact
• ❌ Leaving lineage, access, retention, and ownership implicit

This project enforces engineering discipline on AI agents - the same standards used by strong data engineering teams.

The included agent benchmark pack measures skill impact quantitatively:

graph LR
    A[2004: Software<br/>engineering] --> B[2013: Public work<br/>GitHub account]
    B --> C[2014: Spark 1.2.0<br/>release +1]
    C --> D[JSR 368<br/>Expert Group]
    D --> E[2024: Published<br/>Author · Packt]
    E --> F[2025: 3 Kafka KIPs<br/>+ Spark SPIP]
    F --> G[2026: Vaquar Pattern™<br/>+ InfoQ Author]
    G --> H[2026: 10 Published<br/>Packages]
    
    style A fill:#ff6b6b
    style B fill:#4ecdc4
    style C fill:#45b7d1
    style D fill:#96ceb4
    style E fill:#ffeaa7
    style F fill:#a29bfe
    style G fill:#fd79a8
    style H fill:#ff7675

Roles below are the public LinkedIn record (Greater Chicago, 5,303 followers).

Education. MCA, Computer, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (2001–2004). B.Sc., Mathematics and Statistics, Barkatullah University, Bhopal (1999–2001).

Credentials on LinkedIn. AWS Certified Solutions Architect, issued January 2018, credential LDWZQ4E1DNE4153T. Oracle Certified Professional, Java SE 5 Programmer (March 2012).

Languages. English, Hindi, and Urdu. Arabic at a working level.

Identity and publications checked against public records:

My wikis, repos, and contributions are cited across blogs, newsletters, and open-source communities:

Videos that cite my Stack Overflow answers:

Find more videos: Many additional videos cite my answers across these channels. Browse or search for topics I frequently answer:

• The Debug Zone - Stack Overflow–based debugging tutorials
• Roel Van de Paar - Technical Q&A from Stack Overflow/ServerFault (2M+ videos)
• Search: vaquarkhan stackoverflow

Topics I often answer: Apache Spark, Kafka, AWS (Elastic Beanstalk, RDS, API Gateway), Spring Boot, Docker, Maven/Jacoco

📖 Published Works

Data Engineering with AWS Cookbook Packt, 2024. Co-authors: T. N. Pham, G. H. González, V. Khan, and H. Nofal. Also listed on O'Reilly and Amazon. Google Scholar shows 1 citation. Library holdings that name you as an author: Université d'Orléans (ebook, ScholarVox) and Fisher College Library (ebook, in-library use; contributors include Khan, Viquar).

Microservices Recipes A comprehensive free GitBook on microservices patterns ⭐ Free & Open Source ⭐ 609 GitHub stars · 225 forks

• 🔥 Spark 1.2.0 RC1 +1 (29 Nov 2014)
• 🔥 Spark 2.4.2 +1 (2019)
• 📋 JCP - JSR 368
• 📝 KIP-1267 · KIP-1316 · KIP-1317
• 🪪 ORCID 0009-0008-3592-4162
• 💬 Stack Overflow - vaquar khan

Six articles on the DZone profile. View counts are from that page on 25 Oct 2026.

Ten stories on medium.com/@vaquarkhan. Two use the same ESG title.

🎯 Book a 1:1 Mentorship Session

I offer personalized mentorship in cloud architecture, microservices, data engineering, and career guidance for aspiring architects and senior engineers.

Topics I Can Help With:

• ☁️ Cloud Architecture & AWS Solutions
• 🧩 Microservices Design & Implementation
• 📊 Big Data Engineering & Analytics
• 🎯 Career Progression to Senior/Principal/Architect Roles
• 🔧 System Design & Distributed Systems
• 💡 Technical Leadership & Team Management

🏅 GitRanks - Global & USA Rankings

Metric	Global Rank	USA Rank
Stars (2,667)	Legend 1 - top 1% (#15,694 of 1,669,787)	#2,569 of 161,888
Followers (719)	Legend 1 - top 1% (#12,955 of 2,527,903)	#2,506 of 293,554

📊 Profile Summary

🌐 Stack Overflow

Reputation	11,539
People reached	~7.5 million (Stack Overflow's own figure)
Badges	7 gold · 83 silver · 104 bronze
Member	11 years, 6 months
Days visited	2,918
Posts edited	86
Votes cast	812
Helpful flags	6
Location	Chicago, IL, United States
Profile	stackoverflow.com/users/vaquar-khan

🗓️ Isometric Contribution Calendar

🐍 Contribution Snake

💡 If the snake animation is not visible, run the GitHub Action once to generate it.

🌍 Empowering Global Innovation Through Open Source

💼 Open to Collaboration | 🎯 Available for Mentorship | 📚 Sharing Knowledge

Empowering researchers, engineers, and architects worldwide 🚀

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_{⚡ 10 packages published · 426,709 PePy downloads across MCP packages · Stack Overflow 11,539 · ~7.5m reached · 4 Kafka KIPs · JSR 368 EG · IEEE Senior Member · ORCID 0009-0008-3592-4162 · arXiv:2608.14643 · 3 Zenodo records · Google Scholar: 1 citation}