Habi Demissie
Verified Expert in Engineering
Data Engineer and Developer
Maryland City, MD, United States
Toptal member since April 21, 2026
Habi is a data engineer with nine years of experience designing and optimizing enterprise-scale data solutions across healthcare, legal, supply chain, rehabilitation, and real estate industries. Proficient in Azure, Snowflake, and ETL/ELT automation, he has a strong command of SQL performance tuning, data quality frameworks, and BI dashboard development. Habi is adept at translating complex data challenges into actionable insights and aligning data strategy with broader business objectives.
Portfolio
Experience
- ETL - 9 years
- Data Modeling - 6 years
- SQL - 6 years
- Python - 6 years
- Snowflake - 6 years
- Data Build Tool (dbt) - 4 years
- Azure - 3 years
- Workday - 2 years
Preferred Environment
Microsoft Power BI, Slack, Jira, Databricks, Git, Visual Studio Code (VS Code), Azure Data Factory (ADF), SQL Server, Snowflake, Azure, Data Build Tool (dbt)
The most amazing...
...solution I've built is a scalable Azure/Snowflake pipeline that reduced data processing time by 70%.
Work Experience
Data Engineer
Insperity
- Gained experience using dbt and Snowflake for modeling and data quality, built Power BI and Tableau dashboards for major programs, and integrated multi‑source data into Workday, leveraging automated, auditable pipelines.
- Utilized dbt and Snowflake for modeling, testing, and data quality. Built scalable warehouses across multiple domains and improved performance by refining dependencies, resolving warnings, and aligning with dbt Labs best practices.
- Architected Power BI and Tableau dashboards using Snowflake‑backed dbt models to deliver real‑time insights on claims, KPIs, and campaign performance. Managed Power BI workspaces, deployments, and access controls across programs.
- Integrated data from AIMS, CORP, and client platforms into Workday using APIs, Snowflake, and dbt Core, building end‑to‑end workflows and validation logic to support a scalable, auditable payroll system.
Data Engineer | Data Modeler
Shatterproof
- Designed and built Azure Data Factory pipelines to ingest and process structured and unstructured healthcare data at scale.
- Developed distributed data processing pipelines using PySpark and Azure Data Lake, improving the performance of large-scale ETL workflows.
- Automated ELT pipelines with dbt and Snowflake, reducing manual processes and improving data availability.
- Implemented data standardization and fuzzy matching techniques to align multi-source datasets with Salesforce systems.
Senior Data Engineer
Avepa
- Guided the design and implementation of enterprise data warehouse solutions using Snowflake for large-scale analytics.
- Architected and optimized ETL pipelines using SQL Server Integration Services (SSIS) and SQL, improving the performance of claims and settlement processing systems.
- Developed dbt models and Snowflake-based analytics layers powering KPI dashboards and business intelligence tools.
- Served as a Snowflake administrator, managing role-based access control (RBAC), warehouse performance, and CI/CD integrations.
- Implemented data quality and validation frameworks, optimizing data accuracy and governance across systems.
Business Intelligence Analyst
Fractal
- Developed interactive dashboards and reporting solutions using Power BI, Tableau, and SQL Server Reporting Services (SSRS) for enterprise clients.
- Built ETL pipelines using SSIS and Transact-SQL to integrate and transform data from multiple sources.
- Designed Snowflake data models and supported database migrations from legacy systems.
- Delivered analytics and reporting solutions to support mortgage, sales, and operational decision-making.
Experience
Snowflake Data Quality Failure Detection Project
For high-visibility programs such as the National Opioid Settlement and NFL Concussion Settlement, I designed and deployed Power BI dashboards with drill-throughs, slicers, and dynamic visuals backed by Snowflake and dbt models. I also developed Tableau dashboards for marketing funnel analytics, covering impressions, conversions, and revenue attribution, while managing Power BI workspaces, deployments, and RBAC for secure, reliable reporting.
I led the AIMS/CORP to Workday payroll migration by architecting pipelines, mapping source fields, building dbt transformations, and implementing API-based ingestion workflows. I also created a validation framework to ensure payroll accuracy and completeness, resulting in a clean, auditable migration with zero data integrity issues.
Education
Master's Degree in Data Science (Bioinformatics)
University of Hannover - Hannover, Germany
Skills
Libraries/APIs
PySpark
Tools
Apache Airflow, Slack, Jira, Git, Microsoft Power BI
Languages
Snowflake, SQL, Python, Transact-SQL (T-SQL)
Paradigms
ETL
Platforms
Azure, Amazon Web Services (AWS), Databricks, Visual Studio Code (VS Code)
Storage
PostgreSQL, Data Lakes, SQL Server Integration Services (SSIS)
Other
Data Build Tool (dbt), Data Modeling, Azure Data Factory (ADF), SQL Server, Workday, Data Quality, Database Schema Design, CI/CD Pipelines, Cloud, Data Management Platforms, Azure Data Lake, Servers
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