Data Platforms
& Architecture
Lakehouse and warehouse design, medallion architecture, dimensional modeling, governance, and scalable cloud foundations.
I'm Anza Abbasi — a Data & AI Engineer building scalable cloud platforms, dependable data pipelines, and intelligent products that solve real business problems.
I work at the intersection of data engineering, cloud architecture, analytics, and AI — turning fragmented systems into dependable foundations for better decisions.
My background spans enterprise ETL/ELT, lakehouse architecture, orchestration, data modeling, production support, and business intelligence. I hold a Master's in Data Science and bring hands-on experience across Microsoft and AWS ecosystems.
End-to-end capability, from ingestion and architecture to trusted analytics and intelligent automation.
Lakehouse and warehouse design, medallion architecture, dimensional modeling, governance, and scalable cloud foundations.
Production-grade ETL/ELT, incremental processing, orchestration, Spark optimization, quality controls, and incident resolution.
AI-enabled workflows, LLM-powered investigation, semantic modeling, and business intelligence that translates data into action.
A selection of product and engineering focus areas.
An AI-powered incident investigator for modern data pipelines. Designed to collect evidence, identify likely root causes, and suggest actionable fixes — while keeping engineers in control.
Developing and supporting ingestion, transformations, validation, and orchestration for reliable enterprise analytics.
Designing data models and reporting solutions that help teams make informed decisions with confidence.
Enterprise and international client engagements spanning education, finance, legal operations, fintech and AI.
Enterprise education data engineering, attendance pipelines, data quality, production incident investigation and analytics workflows.
DATA ENGINEERING · ETL · SQLEnterprise finance reporting, Microsoft Fabric lakehouse solutions, Azure Synapse and cloud data integration.
FABRIC · AZURE · FINANCEDigital wallet and card transaction data pipelines, onboarding data integration and reporting workflows.
DATA PIPELINES · FINTECHPayment data integration, automated reconciliation and financial settlement reporting.
RECONCILIATION · ANALYTICS
REST API ingestion from legal operations systems into Microsoft Fabric for reporting and validation.
REST API · FABRICSmart IS · Quantyss Global · Naeco Blue · Cubator
Technical areas for public project showcases. Repository links will be added once verified.
Patterns for data ingestion, incremental loads, transformations, validation and orchestration using Python, SQL and cloud data tools.
Bronze, Silver and Gold processing concepts, Spark transformations, Delta Lake and enterprise data quality patterns.
Explorations in LLM-powered troubleshooting, intelligent workflows, semantic retrieval and AI-enabled engineering.
These are portfolio showcase categories, not verified public GitHub repositories. Add your GitHub profile URL and repository links to publish real projects here.
Selected certifications and technical credentials across cloud, data, and AI.
Certification verification links can be added to individual credentials when available.
Open to conversations around data engineering, AI innovation, cloud platforms, and professional collaboration.
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