Simplifying complex data systems, automating workflows, and delivering reliable insights that empower faster decisions.
I design and implement robust analytics systems that move raw data into structured, dependable datasets — enabling teams to work with confidence.
My experience spans:
- Automating data ingestion and transformation pipelines
- Building reliable analytical models and dashboards
- Optimizing backend logic for performance and accuracy
- Using cloud fundamentals to scale workflows
❗ Automating Reporter Workflows
- Built end-to-end automated pipelines that eliminate repetitive manual processes, reducing operational effort by ~80%.
❗ Stabilizing Data Infrastructure
- Designed systems to prevent failures from API rate limits and unreliable refreshes by introducing secure intermediate processing layers.
❗ Delivering Reliable Metrics
- Standardized analytical logic (including DAX measures) to ensure business insights reflect actual behavior and reduce ambiguity in decision-making.
❗ Improving Speed & Consistency
- Upgraded SQL logic and data models to improve accuracy and performance — reducing errors and improving refresh reliability.
❗ Transforming Ad-Hoc Work Into Scalable Systems
- Turned fragmented spreadsheets and manual analysis into centralized, automated dashboards that stakeholders trust.
Languages & Scripting:
Python · Google Apps Script · SQL
Data Processing & ETL:
API Integration · Data Automation · Transformation Logic · SQL Workflows
Databases & Modeling:
MySQL · PL/SQL · JSON Processing · Data Structuring (Star & Semi-Star Concepts)
BI & Visualization:
Power BI · Advanced DAX · Dashboard Design · KPI Modeling
Cloud & Supporting Tools:
Basic Cloud Fundamentals (GCP) · Version Control · Analytics Tracking
- Automated ingestion, refresh and migration pipelines (Python + SQL + Power Query) that now run reliably without manual intervention.
- Reduced recurring manual reporting effort by ~80% through effective automation.
- Built analytical frameworks that guide consistent decision-making across teams.
- Optimized backend data processing logic to eliminate incorrect outputs and reduce processing delays.
- Introduced validations to ensure data accuracy and safeguard against corrupt or invalid records.
- Designed robust Power BI dashboards with well-defined KPI logic ensuring metrics reflect true business states.
- Applied advanced modeling and DAX patterns to enhance report performance and stakeholder understanding.
- Integrated cloud fundamentals into analytics workflows to support future scaling and more reliable deployments.
- Leveraged cloud data principles to organize pipelines and analytics processing thoughtfully.
I believe data should be:
- Actionable — not just stored or visualized
- Reliable — systems should work without constant oversight
- Structured — build for reuse, not for one-off answers
This mindset guides how I design analytics systems and solve problems.
If you're interested in data systems, automation, or collaborating, feel free to connect:
- LinkedIn: https://linkedin.com/in/zeya-mosharraf
- Email: zeyamosharraf999@gmail.com
- Portfolio: https://zeyamosharraf.github.io/