// modes
Full time / part time / contract / consulting / fractional Head of Data.
Services // 0x03
Senior data engagements, end to end.
Senior data architecture and database engineering services for FinTech, digital banking, payment processing, telecom, healthcare, e-commerce, and AI driven SaaS. Available as freelance, contract, fractional Head of Data, or full ownership of a build. Engagements cover six core modules.
Looking for a senior DBA, freelance data architect, or a data strategy consultant who has run mission critical production workloads under regulated environments? You are in the right place. The work spans on premise, AWS, Azure, and GCP, and includes the governance, security, and migration discipline these environments require.
Modules // 0x03
Six focused modules
Each module can be standalone or part of full ownership. Detailed deliverables below.
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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.
- Conceptual, logical, and physical models that match how the business actually works.
- Warehouse, lakehouse, and data mesh patterns chosen for the workload, not the trend.
- Star and snowflake schemas tuned for analytics performance.
- Reference architectures that survive team and tool changes.
// OUTCOME
A scalable, future proof data foundation.
stack: Modeling / Warehouse / Lakehouse / Data Mesh / Star and Snowflake
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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.
- Always On Availability Groups, Oracle RAC, replication, log shipping, and failover clustering.
- Query optimization and execution plan analysis that move metrics, not just configs.
- Indexing and partitioning strategies built around real workloads.
- Backup, recovery, and DR drills that you can actually rely on.
// OUTCOME
Fast, resilient, always on databases.
stack: SQL Server / PostgreSQL / Oracle / MongoDB / Snowflake
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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.
- Assessment, target architecture, and migration plan tied to business risk.
- Cutover playbooks with rollback, verified against production traffic shapes.
- Cost and performance tuning after landing, not as an afterthought.
- Knowledge transfer so internal teams own what was migrated.
// OUTCOME
A clean move off legacy with no downtime surprises.
stack: AWS / Azure / GCP / Terraform / Zero downtime cutovers
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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.
- Governance frameworks designed for adoption, not for shelfware.
- Lineage, cataloging, and MDM that data and AI teams will actually use.
- RBAC, encryption at rest and in transit, data masking, and audit logging.
- Controls mapped to GDPR, HIPAA, and central bank requirements.
// OUTCOME
Trusted, auditable, compliant data.
stack: GDPR / HIPAA / RBAC / Lineage / MDM / Audit
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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.
- Pipeline design that handles both batch and streaming without surprises.
- Change data capture wired into warehouses and lakehouses.
- Dashboards built so leaders trust the numbers they see.
- Data contracts between producers and consumers.
// OUTCOME
Decisions backed by reliable data.
stack: Power BI / Tableau / BigQuery / CDC / Real time streaming
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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.
- Vector stores and RAG pipelines grounded in clean, governed source data.
- LLM integration that respects security boundaries and cost ceilings.
- Agentic workflows applied to real internal operations, not demos.
- End to end MVPs from idea to live product, built with modern AI tooling.
// OUTCOME
Shipped AI features and working products, fast.
stack: Claude Code / Cursor / Windsurf / pgvector / RAG / MCP
How engagements run
A predictable shape from first call to handover.
No surprises, no scope drift in the middle.
01
Discovery
Goals, constraints, current systems, risks, success criteria. One to two short sessions.
02
Plan
Target architecture, milestones, ownership boundaries, and a concrete delivery timeline.
03
Build
Hands on delivery in small, reviewable increments. Weekly written updates.
04
Handover
Documentation, runbooks, and a support window so your team owns what was built.
Industries // 0x06
Where this work has lived.
Sectors served across eleven plus years of consulting, in house leadership, and contract engagements.
- [ FINTECH ] FinTech
- [ DIGITAL_BANKING ] Digital Banking
- [ PAYMENTS ] Payment Processing
- [ TELECOM ] Telecom
- [ HEALTHCARE ] Healthcare
- [ ECOMMERCE ] E-commerce
- [ SAAS ] SaaS
- [ AI_PLATFORMS ] AI driven platforms
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.
// 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.
Next step // 0x07
Tell me what you are building.
A short message about your system, stage, and goal is enough to start. Replies typically arrive within one business day.