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MUNAWAR.AHMED

IDENT 0x01 AVAILABLE FOR NEW WORK

MUNAWAR AHMED

> Senior Data Architect / Database Engineer / DBA

Eleven plus years designing enterprise data architecture, building scalable data platforms, and running mission critical production databases across FinTech, digital banking, payments, telecom, healthcare, and AI driven SaaS. Trusted with regulated, high availability workloads.

Key results

  • // AVAILABILITY
    0%

    Uptime sustained

    On mission critical financial workloads under strict SLAs.

  • // PERFORMANCE
    up to 0%

    Faster query times

    Through indexing, partitioning, and execution plan tuning.

  • // MIGRATIONS
    0+

    Cloud migrations

    Completed with zero data loss across AWS, Azure, and GCP.

  • // THROUGHPUT
    M+

    Daily transactions

    Across high availability payment and banking systems.

  • // SUPPORT
    0x7

    Production support

    Audit ready operations under regulated environments.

About // 0x02

Databases are load bearing infrastructure. I treat them that way.

A data architecture and database engineering leader who has worked with United States based companies, on-site in Dubai, and remotely from Pakistan. Specializes in secure, high performing OLTP and OLAP systems, enterprise data modeling, data warehousing and lakehouse design, cloud data platforms, and data governance aligned with GDPR, HIPAA, and central bank regulatory standards.

Strong record of leading cloud migrations, tuning performance, and building the data foundations that analytics and AI teams depend on. Works as a hands on owner who protects data security, integrity, and availability while collaborating closely with engineering, product, and business stakeholders.

The shape of the work is consistent across sectors: secure, performant OLTP and OLAP systems, lakehouse and warehouse design, cloud migrations with zero data loss, and the governance rigor that regulated environments require. AI features ride on top of these foundations, not around them.

Services // 0x03

Six focused service areas, end to end ownership.

Each module can be a standalone engagement or part of full platform ownership. Numbered for orientation, not priority.

  • 01 DATA_ARCHITECTURE CORE

    Data Architecture and Strategy

    Enterprise data architecture, conceptual, logical, and physical modeling, data warehouse, data lakehouse, and data mesh design, schema and dimensional modeling.

    // OUTCOME

    A scalable, future proof data foundation.

    stack: Modeling / Warehouse / Lakehouse / Data Mesh / Star and Snowflake

  • 02 DATABASE_ENGINEERING CRITICAL

    Database Engineering and Administration

    SQL Server, PostgreSQL, Oracle, MySQL, MongoDB, Snowflake. High availability and disaster recovery, performance tuning, indexing, partitioning, backup and recovery.

    // OUTCOME

    Fast, resilient, always on databases.

    stack: SQL Server / PostgreSQL / Oracle / MongoDB / Snowflake

  • 03 CLOUD_MIGRATION DELIVERY

    Cloud Data Migration and Modernization

    AWS, Azure, and GCP migrations. EC2 and RDS and Aurora, Azure SQL and Synapse, with zero data loss cutovers.

    // OUTCOME

    A clean move off legacy with no downtime surprises.

    stack: AWS / Azure / GCP / Terraform / Zero downtime cutovers

  • 04 GOVERNANCE CRITICAL

    Data Governance, Security, and Compliance

    Governance frameworks, metadata management, data lineage, master data management, RBAC, encryption, audit logging, GDPR and HIPAA and central bank alignment.

    // OUTCOME

    Trusted, auditable, compliant data.

    stack: GDPR / HIPAA / RBAC / Lineage / MDM / Audit

  • 05 ANALYTICS DELIVERY

    Analytics, BI, and Reporting

    ETL and ELT pipelines, real time and batch, CDC, Power BI, SSRS, Tableau, and BigQuery dashboards and reporting.

    // OUTCOME

    Decisions backed by reliable data.

    stack: Power BI / Tableau / BigQuery / CDC / Real time streaming

  • 06 AI_AND_MVP NEW

    AI, Agentic Systems, and MVP Engineering

    Data foundations for AI, RAG pipelines, vector databases, LLM integration, AI automation, and full product MVPs built with agentic AI engineering tools.

    // OUTCOME

    Shipped AI features and working products, fast.

    stack: Claude Code / Cursor / Windsurf / pgvector / RAG / MCP

Stack // 0x04

A wide stack, with depth where it counts.

Filter to see how the work breaks down. Built up over eleven plus years in production.

// architecture 7

Architecture

  • Enterprise data architecture
  • Conceptual, logical, physical modeling
  • Data warehousing
  • Lakehouse design
  • Data mesh
  • Dimensional modeling
  • Star and snowflake schemas
// databases 14

Databases

  • SQL Server
  • PostgreSQL
  • MySQL
  • Oracle
  • MongoDB
  • Snowflake
  • Informix
  • Greenplum
  • DB2
  • T-SQL
  • PL/SQL
  • PL/pgSQL
  • Stored procedures
  • Window functions
// cloud 17

Cloud and DevOps

  • AWS RDS
  • AWS Aurora
  • AWS Redshift
  • AWS S3 and Glue
  • AWS EC2
  • Azure SQL
  • Azure Synapse
  • Azure Data Factory
  • Azure Data Lake Gen2
  • GCP BigQuery
  • Terraform
  • Docker
  • Kubernetes
  • Linux and Unix
  • PowerShell
  • CI and CD
  • Git and GitHub
// ha & dr 9

HA and DR

  • Always On Availability Groups
  • Oracle RAC
  • Replication
  • Log shipping
  • Failover clustering
  • Query optimization
  • Execution plan analysis
  • Indexing strategies
  • Partitioning
// governance 12

Governance

  • Governance frameworks
  • Metadata management
  • Data cataloging
  • Data lineage
  • Master data management
  • RBAC
  • Encryption at rest and in transit
  • Data masking
  • Audit logging
  • GDPR
  • HIPAA
  • Central bank standards
// bi & analytics 12

BI and Analytics

  • Power BI
  • SSRS
  • Tableau
  • BigQuery
  • Analytics dashboards
  • ETL and ELT pipelines
  • Change data capture
  • Real time streaming
  • Batch processing
  • SSIS
  • Oracle Data Integrator
  • Kafka
// ai & emerging 12

AI and Emerging

  • Agentic AI workflows
  • AI automation
  • Vector databases
  • RAG pipelines
  • LLM integration
  • Claude Code
  • Cursor
  • Windsurf
  • MCP servers
  • pgvector
  • AI assisted product development
  • Blockchain and Web3 awareness
// INDUSTRIES
  • FinTech
  • Digital Banking
  • Payment Processing
  • Telecom
  • Healthcare
  • E-commerce
  • SaaS
  • AI driven platforms
MODULE 06 / EXPANSION

AI, agentic engineering, and vibe coding

AI features that ship, on data foundations you can trust.

Modern AI products only work when the data underneath is correct, governed, and fast. The same architecture, security, and platform discipline applied to enterprise systems applies to RAG pipelines, vector stores, and agentic workflows. Bringing both sides together is where most of the value gets created.

Day to day, this work happens with agentic AI coding tools as primary collaborators. Claude Code, Cursor, Windsurf, and the broader agent ecosystem are used to plan, refactor, write, review, and ship in much shorter cycles than a hand crafted workflow allows. Vibe coding is treated as a practice with its own discipline: prompts as design documents, evals as tests, taste as the final gate.

  • RAG Pipelines
  • Vector Databases
  • LLM Integration
  • AI Automation
  • Agentic Workflows
  • MVP Engineering
  • Claude Code
  • Cursor
  • Windsurf
  • MCP Servers

Log // 0x05

Career log, by role and sector.

Read it like a log file. Company names are intentionally omitted out of respect for confidentiality.

~/career.log 11Y · 04 ROLES
  1. $ Head of Data, Senior Data Architect, and DBA

    Owned full data architecture strategy, lakehouse and warehouse design, governance frameworks, and security across SQL Server, PostgreSQL, MySQL, MongoDB, Oracle, and Snowflake. Sustained 99.9% uptime, cut query times by up to 60%, and enabled analytics and AI workloads.

  2. $ Lead and Principal Database Engineer

    Led DBA operations, cloud migrations, and data engineering. Migrated 50 plus clients to AWS with zero data loss. Mentored a team and set governance standards.

  3. $ Database Administrator and Engineer

    Ran 24x7 production support for high availability databases processing millions of transactions daily, configured HA and DR, and led business continuity testing under audit and regulatory requirements.

Modes // 0x05

Flexible engagement, serious ownership.

Worked with United States based companies, on-site in Dubai, and remotely from Pakistan. Open to full time, part time, contract, and consulting. Comfortable across United States, Europe, and Gulf time zones.

// modes

Full time / part time / contract / consulting / fractional Head of Data.

// engagements

  • Half day advisory and architecture reviews.
  • Single sprint deep dives on a specific system.
  • Multi quarter platform builds with full ownership.
  • Fractional Head of Data alongside in house teams.

// time zones

United States, Europe, and Gulf, with overlap flexibility from PKT.

// location

Pakistan, remote worldwide, and digital nomad.

Contact // 0x07

Start a project.

A short message about your system, stage, and goal is enough to start. Replies typically arrive within one business day.

~/contact.form SECURE