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sendtoshailesh/README.md

Shailesh Kumar Mishra 👋

Lead Specialist — AI, Data & Cloud Transformation
Microsoft | ex‑AWS | ex‑Google Hyderabad, Telangana, India

✉️ sendtoshailesh@gmail.com
🔗 https://www.linkedin.com/in/shaileshmishra1/ · 🌐 Portfolio (link) · ✍️ Blog (link)


About

I solve complex, high‑impact problems at the intersection of AI, Data, and large‑scale Cloud Transformation. As a Lead Specialist in Microsoft’s Global Black Belt team, I shape technical strategy and deliver architecture for strategic enterprise customers — spanning Azure, GitHub, and the Microsoft AI ecosystem. With 22+ years across Microsoft, AWS, Google Cloud, Oracle, and IBM, I focus on execution over theory: shipping production-ready, secure, and scalable systems that deliver measurable business outcomes.

Core strengths: enterprise migrations, cloud-scale data architecture, GenAI/LLM adoption, and modernization in regulated industries (BFSI, Healthcare, Global Enterprises). I’m passionate about technical rigor, clarity, and mentoring engineering teams.


Tech & Tools

  • Cloud & AI: Azure · AWS · GCP · Microsoft AI Foundry · GitHub
  • Languages: Python · SQL · Shell · PL/SQL · JavaScript/TypeScript
  • Data & Databases: BigQuery · Spanner · PostgreSQL · Exadata · Oracle
  • Infrastructure & DevOps: Kubernetes · Docker · Terraform · GitHub Actions
  • Other: LLMs/GenAI · Automation · Observability · Security & Compliance

What I Do (Highlights)

  • Lead enterprise-level AI, data, and cloud modernization programs and reference architectures.
  • Design production-grade GenAI solutions, responsible AI guardrails, and end-to-end data platforms.
  • Drive migrations and modernization (e.g., large-scale DB migrations, cloud re-architecture).
  • Mentor teams and enable partner/customer readiness via reusable patterns and engineering assets.

Experience (select)

  • Microsoft — Lead Specialist: architecting AI, data & cloud transformation programs; delivering Azure + GitHub + Copilot solutions for strategic customers.
  • AWS — Lead Solutions Architect & Senior/Enterprise SA: led SPS & FSI solutions, GenAI adoption, large enterprise migrations, and SP-API modernization.
  • Google Cloud — Data Specialist: BigQuery, Spanner, Cloud SQL architecture and analytics adoption.
  • Amazon / Oracle / IBM / TCS — Senior roles in data engineering, DBAs, and enterprise consulting; delivered large migrations and performance-critical systems.

(Full career timeline and role details available on LinkedIn.)


Selected Achievements & Contributions

  • LinkedIn Top Data Architecture Voice
  • AWS Certified Solutions Architect — Professional
  • Contributor: Google Dev Library & various technical publications (audit logs, securing DBs, cloud best practices)
  • Speaker and community leader in cloud and AI topics

Education & Certifications

  • IIT Delhi — Executive Program for Tech Product Management (2024)
  • MCA — Indira Gandhi National Open University (2018)
  • BSc — VBS Purvanchal University
  • DOEACC (NIELIT) O‑Level Certification

Certifications: AWS Solutions Architect (Pro) · Financial Services L100 · AWS PR Tier‑2 Speaker


Publications & Writing

  • Thought leadership articles on AI, data platform design, and cloud security
  • Google Dev Library contributor — guides on audit logs, securing Cloud SQL, and more

Contact & Availability

Open to: collaborations on AI/Data/Cloud, advisory/mentoring, and speaking engagements.


GitHub Stats

GitHub stats
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If you'd like this README to be more compact, more technical (focus on code & repos), or more narrative (focus on leadership & outcomes), tell me which tone to use and I’ll adapt it. I can also:

  • Fetch your GitHub repos and auto-fill the Featured Projects section with the top 3 projects (and include README excerpts), or
  • Prepare the exact git commands to create and push this README to the profile repo (sendtoshailesh/sendtoshailesh) if you want me to generate the commit instructions.

Pinned Loading

  1. aws-ansible-sh aws-ansible-sh Public

    use Ansible to perform the required metric collection.

  2. aws-rds-data-masking-data-anonymization aws-rds-data-masking-data-anonymization Public

    many AWS users face a significant limitation: PostgreSQL Anonymizer is not available/compatible with Amazon Aurora or RDS PostgreSQL instances. This repo specifically addresses that gap, providing …

    PLpgSQL 2

  3. postgres-data-masking-anonymization postgres-data-masking-anonymization Public

    provides comprehensive data masking and anonymization capabilities while preserving data utility in PostgreSQL.

    Shell 2 1

  4. ai-security-code-examples ai-security-code-examples Public

    Comprehensive AI security framework with OWASP LLM Top 10 coverage

    Python 1

  5. aws-data-lake-solution aws-data-lake-solution Public

    Forked from aws-solutions/aws-data-lake-solution

    A deployable reference implementation intended to address pain points around conceptualizing data lake architectures that automatically configures the core AWS services necessary to easily tag, sea…

    JavaScript 1

  6. aws-q-dev-workshop aws-q-dev-workshop Public

    to collaborate during the workshop; 13-Dec-2024 in Hyderabad city at Amazon Office

    1