Build Reliable Cloud Data Pipelines and Analytics Platforms

Design data platforms for analytics and AI.

I help FinTech, Ecommerce, and modern data teams design, optimize, and scale data systems with AWS, Azure, SQL, ETL/ELT, and analytics engineering best practices.

• ETL/ELT pipelines and orchestration
• SQL and warehouse performance optimization
• Cloud data platform architecture (AWS & Azure)
• Analytics and AI-ready data foundations
• Data Platform Migration & Modernization
• Data Architecture Coaching & Advisory

Book a Discovery Call Explore Services

Trusted Experience in Modern Data Platforms

Building cloud data products solutions across AWS, Azure, and other platforms for reliability, scalability, and business impact.

5+ years experience FinTech and Ecommerce focus AWS, Azure, SQL, Glue, Airflow, PySpark Analytics and AI-ready foundations

Services

From ingestion to analytics-ready modeling, I help teams build reliable data foundations for reporting, operations, and AI use cases.

Data Platform Architecture

• Design of cloud data architecture for analytics, reporting, and AI use cases.
• Lakehouse or warehouse structure aligned to business needs.
• Governance and reliability patterns for scalable growth.
• Architecture decisions that reduce rework and operational friction.

ETL and ELT Pipelines

• Build and improve ingestion and transformation pipelines.
• Batch and near real-time orchestration with reliability controls.
• Incremental processing and quality checks to reduce data incidents.
• Production-ready workflows for business-critical datasets.

SQL and Warehouse Optimization

• Query and model refactoring for faster execution.
• Schema and workload tuning for cost and performance balance.
• Diagnosis of bottlenecks affecting reporting and operations.
• Optimization roadmap with measurable improvements.

Analytics Engineering Foundations

• Trusted, analytics-ready datasets for BI and decision-making.
• Curated data layers and KPI-ready modeling logic.
• Clear semantic structure for cross-team consistency.
• Foundations ready for future AI and advanced analytics.

Data Platform Migration & Modernization

• Teams moving from legacy ETL or monolithic systems.
• Organizations migrating workloads to AWS.
• Companies modernizing analytics platforms.
• Teams needing better reliability during platform transitions.

Data Architecture Coaching & Advisory

• Startups building their first serious data stack.
• SMBs that need a roadmap before implementation.
• Teams evaluating lakehouse or modern data architectures.
• Professionals who want technical guidance on data strategy.

Case Studies

Real outcomes from data engineering and platform optimization projects.

FinTech Pipeline Reliability

Problem: inconsistent outputs were affecting reporting confidence.

Work: aligned transformations, improved validation checks, and stabilized pipeline behavior.

Result: more reliable reporting and fewer production mismatches.

Warehouse Query Optimization

Problem: slow SQL workloads timing out in downstream analytics.

Work: refactored CTEs, adjusted partition logic, and improved filtering strategies.

Result: faster execution and more stable analytics operations.

Analytics-Ready Data Layers

Problem: fragmented data models made KPI reporting inconsistent.

Work: designed curated layers and unified business logic for reporting.

Result: cleaner BI consumption and stronger trust in business metrics.

Discovery Call

Let’s fix what is slowing down your data platform

Share your current stack, the bottleneck, and the outcome you need. I help teams improve ETL reliability, SQL performance, analytics foundations, and AWS data architecture.

Typical projects

ETL and ELT pipelines, warehouse tuning, platform design, analytics-ready datasets.

Good fit

FinTech, ecommerce, and teams modernizing reporting or operational workflows.

Reply expectation

I will review your message and respond with next steps and availability.