Architecture
- Enterprise data architecture
- Conceptual, logical, physical modeling
- Data warehousing
- Lakehouse design
- Data mesh
- Dimensional modeling
- Star and snowflake schemas
IDENT 0x01 AVAILABLE FOR NEW WORK
> 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.
Years of senior data work
Across FinTech, banking, telecom, healthcare, and AI driven SaaS.
Uptime sustained
On mission critical financial workloads under strict SLAs.
Faster query times
Through indexing, partitioning, and execution plan tuning.
Cloud migrations
Completed with zero data loss across AWS, Azure, and GCP.
Daily transactions
Across high availability payment and banking systems.
Production support
Audit ready operations under regulated environments.
About // 0x02
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
Each module can be a standalone engagement or part of full platform ownership. Numbered for orientation, not priority.
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
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
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
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
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
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
Filter to see how the work breaks down. Built up over eleven plus years in production.
AI, agentic engineering, and vibe coding
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.
Log // 0x05
Read it like a log file. Company names are intentionally omitted out of respect for confidentiality.
$ 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.
$ 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.
$ 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
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
// time zones
United States, Europe, and Gulf, with overlap flexibility from PKT.
// location
Pakistan, remote worldwide, and digital nomad.
Contact // 0x07
A short message about your system, stage, and goal is enough to start. Replies typically arrive within one business day.