Sql Server Database Developer,Administration
Resume:
Fereydoon Hamidi
Richmond, VA
********@*****.***
US Citizen
Technical Skills
Databases: SQL Server 2000–2019, Oracle 8i–11g, MySQL, PostgreSQL, ODI, NoSQL (MongoDB, HBase, Cassandra)
Programming: Python, PHP, R, Visual Basic, VB.NET, C, C++, C#.NET, Java, JavaScript, Visual FoxPro, Visual Studio 2019, .Net programming.
BI/Reporting Tools: Power BI, Power Apps, Power Automate, Tableau, SSRS, Jasper Studio, Crystal Reports, Informatica Intelligent Cloud Services (IICS).
ETL Tools: SQL Server Integration Services (SSIS), Informatica, Azure Data Factory, Databricks, DBT, Azure SQL Database, Azure Synapse, Snowflake.
Certifications & Education
BS Computer Engineering, South Tehran Azad University
Microsoft Certified Professional (MCP)
MCSA: SQL Server 2012
CompTIA A+
CCNA
EPIC Clarity
Professional Experience
Independent DB Administrator & Developer
Self-Employed (Remote) July 2025 – Present
Develop FHIR-aligned curated data models within the SPARK data Lakehouse.
Implement data transformations to prepare prioritized datasets for ingestion into FHIR services.
Support entity resolution alignment and use of golden record identifiers.
Collaborate with the SPARK team to establish data refresh and extension strategies.
Participate in ongoing SPARK team meetings and support curated data requests.
Assist with connectivity between SPARK, Rhapsody, and FHIR services
Experience with cloud data platforms, data Lakehouse, and SQL-based modeling.
ETL/ELT processes, and data quality practices.
Familiarity with health data standards and interoperability concepts.
In-depth knowledge of BI data architecture methodology.
Expertise utilizing healthcare electronic medical records for data extraction and analysis is requested, and ideally with EPIC.
T-SQL and Microsoft SQL Server.
SQL Server Reporting Services and Power BI.
Azure Databricks and medallion architecture.
Azure Data Factory, Azure storage, Microsoft Fabric, Azure DevOps, DAX, IaaS, BICEP scripting, SQL PaaS.
Develop and maintain data pipelines, feature engineering workflows, and analytical models.
Apply machine learning techniques to structured and unstructured healthcare data.
Collaborate with scientific and product partners to understand needs and deliver usable tools.
Focus on speed, iteration, and usability, with production scaling supported by enterprise Digital teams as appropriate.
Contribute to shared engineering standards, documentation, and best practices.
Experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
Strong programming skills and experience with modern data and ML tooling.
Ability to rapidly prototype and adapt solutions based on feedback.
Experience working on research or clinical workflows.
Cloudbased data and ML.
Information Technology Specialist III
Virginia Employment Commission (Remote) August 2022 - July 2025
T-SQL and Microsoft SQL Server.
SQL Server Reporting Services and Power BI.
Azure Databricks and medallion architecture.
Azure Data Factory, Azure storage, Microsoft Fabric, Azure DevOps, DAX, IaaS, BICEP scripting, SQL PaaS.
Utilize SQL to extract, manipulate, and analyze data from large, complex datasets to support analytical requirements.
Design, develop, and maintain advanced Tableau dashboards and reports to visualize key metrics and trends.
Support ad-hoc business studies/reporting.
Excellent analytical and problem-solving skills with the ability to analyze complex data sets and derive meaningful insights.
Strong experience in BI development using Tableau and data modeling, including creating complex dashboards, visualizations, and reporting.
Excellent understanding of data warehouse concepts, ETL processes, and data integration techniques.
Deep understanding of ETL frameworks, data lake design, and cloud-based architecture.
Cloud services including Azure ADF, Databricks, AWS Glue, Lambda, RDS, and SageMaker, or their equivalents in other cloud environments.
Familiarity with real-time and batch data processing tools and methodologies.
Strong proficiency in Python and SQL.
In-depth knowledge of BI data architecture methodology.
Expertise utilizing healthcare electronic medical records for data extraction and analysis is requested, and ideally with EPIC.
Sr Database Admin/Developer
University of Pittsburgh (Hillman Cancer Center) August 2021 - August 2022
T-SQL and Microsoft SQL Server.
SQL Server Reporting Services and Power BI.
In-depth knowledge of BI data architecture methodology.
Expertise utilizing healthcare electronic medical records for data extraction and analysis is requested, and ideally with EPIC.
Azure Databricks and medallion architecture.
Azure Data Factory, Azure storage, Microsoft Fabric, Azure DevOps, DAX, IaaS, BICEP scripting, SQL PaaS.
Utilize SQL to extract, manipulate, and analyze data from large, complex datasets to support analytical requirements.
Design, develop, and maintain advanced Tableau dashboards and reports to visualize key metrics and trends.
Support ad-hoc business studies/reporting.
Excellent analytical and problem-solving skills with the ability to analyze complex data sets and derive meaningful insights.
Strong experience in BI development using Tableau and data modeling, including creating complex dashboards, visualizations, and reporting.
Excellent understanding of data warehouse concepts, ETL processes, and data integration techniques.
Deep understanding of ETL frameworks, data lake design, and cloud-based architecture.
Develop and maintain data pipelines, feature engineering workflows, and analytical models.
Apply machine learning techniques to structured and unstructured healthcare data.
Collaborate with scientific and product partners to understand needs and deliver usable tools.
Focus on speed, iteration, and usability, with production scaling supported by enterprise Digital teams as appropriate.
Contribute to shared engineering standards, documentation, and best practices.
Experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
Strong programming skills and experience with modern data and ML tooling.
Ability to rapidly prototype and adapt solutions based on feedback.
Experience working on research or clinical workflows.
Cloudbased data and ML.
Cloud services including Azure ADF, Databricks, AWS Glue, Lambda, RDS, and SageMaker, or their equivalents in other cloud environments.
Familiarity with real-time and batch data processing tools and methodologies.
Strong proficiency in Python and SQL.
Application Database Admin & Developer
University of Florida (Remote) September 2020 - September 2021
T-SQL and Microsoft SQL Server.
SQL Server Reporting Services and Power BI.
Azure Databricks and medallion architecture.
Azure Data Factory, Azure storage, Microsoft Fabric, Azure DevOps, DAX, IaaS, BICEP scripting, SQL PaaS.
Utilize SQL to extract, manipulate, and analyze data from large, complex datasets to support analytical requirements.
Design, develop, and maintain advanced Tableau dashboards and reports to visualize key metrics and trends.
Support ad-hoc business studies/reporting.
Excellent analytical and problem-solving skills with the ability to analyze complex data sets and derive meaningful insights.
Strong experience in BI development using Tableau and data modeling, including creating complex dashboards, visualizations, and reporting.
In-depth knowledge of BI data architecture methodology.
Expertise utilizing healthcare electronic medical records for data extraction and analysis is requested, and ideally with EPIC.
Excellent understanding of data warehouse concepts, ETL processes, and data integration techniques.
Deep understanding of ETL frameworks, data lake design, and cloud-based architecture.
Cloud services including Azure ADF, Databricks, AWS Glue, Lambda, RDS, and SageMaker, or their equivalents in other cloud environments.
Familiarity with real-time and batch data processing tools and methodologies.
Strong proficiency in Python and SQL.
batch data processing tools and methodologies.
Senior Database Engineer
University of Maryland (School of Medicine) Nov 2015 - Sep 2020
T-SQL and Microsoft SQL Server.
SQL Server Reporting Services and Power BI.
Azure Databricks and medallion architecture.
Azure Data Factory, Azure storage, Microsoft Fabric, Azure DevOps, DAX, IaaS, BICEP scripting, SQL PaaS.
Support ad-hoc business studies/reporting.
Excellent analytical and problem-solving skills with the ability to analyze complex data sets and derive meaningful insights.
Strong experience in BI development using Tableau and data modeling, including creating complex dashboards, visualizations, and reporting.
Excellent understanding of data warehouse concepts, ETL processes, and data integration techniques.
Deep understanding of ETL frameworks, data lake design, and cloud-based architecture.
Develop and maintain data pipelines, feature engineering workflows, and analytical models.
Apply machine learning techniques to structured and unstructured healthcare data.
Collaborate with scientific and product partners to understand needs and deliver usable tools.
Focus on speed, iteration, and usability, with production scaling supported by enterprise Digital teams as appropriate.
Contribute to shared engineering standards, documentation, and best practices.
Experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
Strong programming skills and experience with modern data and ML tooling.
Ability to rapidly prototype and adapt solutions based on feedback.
Experience working on research or clinical workflows.
Cloudbased data and ML.
Cloud services including Azure ADF, Databricks, AWS Glue, Lambda, RDS, and SageMaker, or their equivalents in other cloud environments.
Familiarity with real-time and batch data processing tools and methodologies.
Strong proficiency in Python and SQL.
In-depth knowledge of BI data architecture methodology.
Expertise utilizing healthcare electronic medical records for data extraction and analysis is requested, and ideally with EPIC.
Contact this candidate