Davide is currently unavailable
Davide Moraschi
Verified Expert in Engineering
Data Engineer and Developer
Seville, Spain
Toptal member since September 25, 2016
Bio
Davide is a Claude Certified Architect, a data engineer certified in Microsoft Azure and AWS, and an experienced data architect. He is the author of *Business Intelligence with MicroStrategy Cookbook*. With a career spanning two decades in data warehousing and working with relational and NoSQL databases, Davide has focused on loading, transforming, and visualizing large volumes of data. More recently, he has been working on cloud big data projects with Fortune 500 clients.
Portfolio
Straumann - Main
Python, Amazon Web Services (AWS), AWS Lambda, Snowflake, Amazon SageMaker, ETL...
Toptal
Data Engineering, Data Analysis, Data Architecture
Atlas Group London Limited
Data Engineering, C#, Azure, Databases, Data Modeling, Architecture, .NET...
Experience
- Data Modeling - 20 years
- Microsoft SQL Server - 15 years
- SQL - 15 years
- ETL Development - 15 years
- Azure SQL - 7 years
- Python - 4 years
- Snowflake - 3 years
- Redshift - 3 years
Work Experience
Senior Data Engineer
2024 - 2025
Straumann - Main
- Rebuilt several data pipelines, getting data from different sources like API, SFTP, and Datadog. Designed and implemented new pipelines with data from SAP Marketing and SAP CRM.
- Helped set new standards for data ingestion, with a special focus on data security, reliability, quality, and speed.
- Proposed several changes and simplified the entire data landscape, removing redundant steps and streamlining the data lake transformations.
Technologies: Python, Amazon Web Services (AWS), AWS Lambda, Snowflake, Amazon SageMaker, ETL, Terraform, Spark, Amazon Athena, Data Pipelines, Data Governance, Data Quality, Data Warehouse Design, Data Warehousing, Business Intelligence (BI), JSON, Databases, AWS Glue
Data Strategy Advisor
2024 - 2024
Toptal
- Worked as a data integration and analysis expert to support the preparation of a project proposal aimed at automating data ingestion from multiple sources and enhancing data analysis and visualization capabilities.
- Assessed the current data collection processes from various sources, identifying opportunities for automation and integration.
- Recommended and implemented best practices for setting up and managing the data warehouse.
- Provided rough estimates for project completion (10-14 weeks) and budget considerations. Addressed key concerns around data validation and ensured robust data governance practices were in place.
Technologies: Data Engineering, Data Analysis, Data Architecture
Data Engineer
2023 - 2023
Atlas Group London Limited
- Helped the client import into an SQL database some datasets related to projects, such as modeling, design, construction, operations/management, and procurement data. Imported Autodesk Revit data as JSON objects.
- Tested several different I/O configurations with other disks and IOPS to do a POC for the client about how fast a file can be loaded.
- Understood the business and BIM team needs and worked towards a more performant, scalable solution. Created a document on the proposed changes and the modifications required to make the application database safer and more performant.
- Installed a VM in Azure with SQL Server, read a 200/400M JSON file from within the database, and completed the query in about one minute.
Technologies: Data Engineering, C#, Azure, Databases, Data Modeling, Architecture, .NET, Tekla Structures
Data Engineer
2022 - 2023
Pfizer - PGS Operations Insights
- Was part of the team that provides insights into the supply chain. I helped the team transition to a full working CI/CD model based on GitHub, Terraform, and Kubernetes.
- Migrated the application database from on-premises Linux VM to Kubernetes cluster in AWS. I also migrated all ETL scripts and processes from Redshift to Snowflake.
- Improved the efficiency of Python code by 50%. Improved instrumentation of the code with logging, monitoring, and error handling.
- Introduced the migration for databases based on Liquibase technology.
- Reduced the database size, improved backup times, and reduced overall network costs.
- Mentored colleagues on the best practices in big database infrastructures.
Technologies: Data Engineering, DataOps, Snowflake, PostgreSQL, Apache Airflow, Python, Liquibase, Kubernetes, Server Migration, Azure SQL, ETL Development, Redshift, Dimensional Modeling, Data Modeling, Containers, Database Modeling, Data-driven Design, ETL Tools, Data Analysis, Database Optimization, Database Migration, Amazon RDS, Microsoft Excel, Data, CI/CD Pipelines, Data Lakes, Database Development, ETL Implementation & Design, ETL Testing
Lead Data Architect
2021 - 2021
Yara International
- Led a team of eight and audited, reviewed, and documented their existing data infrastructure.
- Proposed and bootstrapped a plan to improve efficiency and reduce costs.
- Introduced a ticket system for better accountability and tracking of data requests.
- Streamlined relationships with different groups in the company.
- Helped stakeholders in the definition of enterprise-wide KPIs.
Technologies: Amazon Web Services (AWS), Apache Airflow, AWS Glue, AWS Database Migration Service (DMS), PostgreSQL, Amazon Redshift Spectrum, Snowflake, Architecture, SQL, Python, Jira, Team Leadership, Azure SQL, ETL Development, Redshift, Dimensional Modeling, Data Modeling, Database Modeling, Data-driven Design, ETL Tools, Data Integration, Data Analysis, Data Build Tool (dbt), Amazon S3 (AWS S3), AWS Data Pipeline Service, Amazon CloudWatch, Business Intelligence (BI), Database Optimization, Amazon Aurora, AWS Lambda, Apache Kafka, Database Migration, Amazon RDS, Database Design, Data, CI/CD Pipelines, Data Lakes, Database Development, ETL Implementation & Design, ETL Testing
Azure Data Architect
2019 - 2021
Fortune 100 North American Construction Equipment Manufacturer
- Built the new version of a legacy system used to store, retrieve, and update data about products, bills of materials, and services. The information included components, parts schematics, and maintenance manuals in all languages supported.
- Designed the database and the processes needed to move the data from the legacy system to the new one. The overall engagement consisted of building the data infrastructure supporting the application.
- Introduced Azure SQL change tracking, so tables only loaded and updated if they had modifications. Helped introduce DevOps to Azure as the standard procedure for database deployment. The entire ecosystem is hosted on Microsoft Azure.
Technologies: Azure DevOps, Transact-SQL (T-SQL), Azure, Data Marts, Data Engineering, Relational Databases, Data Pipelines, Apache Airflow, Snowflake, Azure SQL, ETL Development, Redshift, Dimensional Modeling, Data Modeling, Database Modeling, Data-driven Design, ETL Tools, Architecture, Data Integration, Microservices, Data Analysis, Business Intelligence (BI), Database Optimization, Database Design, Data, CI/CD Pipelines, Data Lakes, Database Development, ETL Implementation & Design, ETL Testing
Database Developer | Report Writer (SQL/Oracle)
2017 - 2019
Toptal Client
- Handled the entire lifecycle of the data layer that helps run an award-winning sales representative operation application.
- Designed the architecture, developed the database, and rolled out the same in coordination with the rest of the development team.
- Handled the different stages of the database (development, testing, production) and used several tools to sync the schema and the data between them all and maintain the Azure SQL code so that it's up-to-date in the Azure DevOps repository.
- Strove to keep all the plates spinning at full speed, which involved monitoring logs, modifying T-SQL code, and optimizing indexes, statistics, and table structure to maximize Azure SQL performance.
- Designed the ER diagram from initial requirements based on a series of JSON documents needed by the middle layer. Using the latest JSON SQL techniques, I developed a series of stored procedures underpinning an API layer.
- Handled the rollout and the different phases of the database lifecycle (development, UAT, production) and synced data between the instances to keep the app running.
- Created a series of T-SQL functions using Microsoft SQL Server system-versioned tables that calculate and return only the inserted or modified data after the previous API call. This was a requirement for a disconnected progressive app.
Technologies: Windows PowerShell, Oracle, Database Design, JSON, DevOps, Azure SQL Databases, Data Management, Data Architecture, Data Modeling, Data Warehousing, Azure SQL, ETL Development, Dimensional Modeling, Database Modeling, Data-driven Design, ETL Tools, Data Analysis, Business Intelligence (BI), Database Optimization, BI Reporting, Dashboards, Database Development, ETL Implementation & Design
Microsoft SQL Database Expert
2016 - 2019
Toptal Clients
- Optimized tables and indexes and analyzed and created a proof of concept for a better search using multiple filters. Used Power BI, SSRS, and data aggregation.
- Developed the company's audits, logging, and alert reporting interface with knowledge of Power BI, dashboard creation, data aggregation, and SSRS.
- Extracted data from the raw database to populate the aggregation database, analysis services, or SQL data marts with SQL Server Integration Services (SSIS).
- Designed ERD and database scripts for progressive web apps. Developed stored procedures to synchronize data between offline clients and a central database via JSON files.
Technologies: C#, Microsoft SQL Server, Amazon Web Services (AWS), Azure, DevOps, Data Management, Data Architecture, Data Modeling, Data Pipelines, Azure SQL, ETL Development, Dimensional Modeling, Database Modeling, Data-driven Design, ETL Tools, Data Integration, Data Analysis, Business Intelligence (BI), Database Optimization, Dashboards, Database Transactions, Database Structure, Database Development
SQL Expert
2016 - 2017
Toptal Client
- Reviewed and optimized SQL queries and merged them from different data sources.
- Built complex SQL, optimizing tables and indexes and partitioning.
- Optimized geographic queries with SQL, finding the closest matches given a point and a radius.
- Converted data from the previous on-premise server to the cloud.
Technologies: SQL, Azure, Microsoft SQL Server, Azure SQL, ETL Development, Dimensional Modeling, NoSQL, Database Modeling, Data-driven Design, ETL Tools, Business Intelligence (BI), Amazon Aurora, BI Reporting, Dashboards, Database Transactions, Database Structure, Database Development
MicroStrategy Senior Consultant
2016 - 2016
COTY
- Migrated SAP FI reporting from SAP BW to MicroStrategy.
- Developed the semantic layer and reports/dashboards.
- Advanced KPIs for accounts payable, accounts receivable, and supply chain management departments.
- Replicated SAP BW KPIs to work exactly the same in MicroStrategy as in BW info cubes.
- Worked in a remote multisite team within tight deadlines.
Technologies: MicroStrategy, Shell Scripting, DevOps, Data Management, Big Data Architecture, Microsoft Power BI, ETL Development, Containers, Database Modeling, Data-driven Design, ETL Tools, Tableau, Data Visualization, BI Reporting, Database Transactions, Transactions, Database Development
Business Intelligence Senior Consultant
2015 - 2015
Bism@rt
- Handled business intelligence projects in the hospitality and marketing sectors. Involved in international public bidding and technical presales.
- Worked with advanced ETL scripts, JSON REST web services, semantic text analytics, and geographic queries with Microsoft SQL Server.
- Designed POC dashboards in Power BI. Immersed in the startup culture. Optimized geographic SQL queries.
Technologies: Microsoft Power BI, SQL Server Integration Services (SSIS), Microsoft SQL Server, ETL, SQL, DevOps, Data Management, Data Architecture, Big Data, NoSQL, Database Modeling, Data-driven Design, PostgreSQL, Architecture, Data Integration, Tableau, Data Visualization, API Integration, Database Administration (DBA)
MicroStrategy Senior Consultant
2015 - 2015
AGQ Labs
- Contributed with key elements to several MicroStrategy products to support management decisions in logistics, production, and financials. Provided data modeling, ETL, and development.
- Gathered requirements, set expectations, trained junior employees, managed projects, and provided support for all products.
- Maintained the existing BI stack and improved the efficiency of SQL databases.
Technologies: MicroStrategy, SQL Server Integration Services (SSIS), Microsoft SQL Server, Data Analytics, Shell Scripting, DevOps, Transact-SQL (T-SQL), SQL Stored Procedures, Data Management, Data Warehousing, Data Visualization, API Integration, Database Administration (DBA), Transactions
Business Intelligence Architect
2009 - 2014
Public Health Services, Region of Andalucía
- Managed a five-member team proactively and negotiated with clients.
- Designed and built a proof of concept for a full-stack BI infrastructure for hospital data analysis based on MicroStrategy and SharePoint with custom SSO and user authorization to comply with PA standards.
- Made a series of departmental integrations with the hospital information system and HL7 validation.
- Built interactive data pages for almost real-time ER monitoring and bed allocation.
Technologies: HL7, REST, MicroStrategy, Oracle, Oracle PL/SQL, ETL, SQL, DevOps, Azure, Azure DevOps, Bash Script, Data Warehousing, PostgreSQL, Data Visualization, API Integration, Database Administration (DBA), Oracle DBA, Electronic Health Records (EHR)
Author
2013 - 2013
PACKT Publishing
- Authored "Business Intelligence with MicroStrategy," from concept to final review.
- Created additional material for the website, including videos, code, and examples.
- Collaborated with the editing team, one chapter at a time.
- Prepared practical exercises and videos, editing and post-processing.
- Used heterogeneous sources, including Vertica and BigQuery.
Technologies: Amazon Web Services (AWS), Azure, MicroStrategy, Microsoft SQL Server, Shell Scripting, DevOps, Redshift, BigQuery, Data Warehousing, Amazon RDS, Database Structure
Diagnostics Equipment Integration and Automation Developer
2009 - 2012
INyDIA Labs
- Automated and integrated multiple diagnostic appliances with Xiril robotic workstation (thermoshaker, barcode scanner, etc.).
- Developed a new application to manage and service an array reader (a serial communication layer and UX design).
- Integrated hardware and software from disparate vendors and created an OLE DB layer to manage different machines.
- Managed projects and oversaw source version control.
- Did RS232 programming in C++ and user interface in C#.
Technologies: XML/XSLT, C#, Shell Scripting, DevOps, C++, Integration, APIs, Database Administration (DBA), Excel 2016, Database Structure, Transactions
Data Analyst | Database Developer
2003 - 2009
European Commission
- Studied, analyzed, and developed a time series-oriented database to store, consult, and update the time series datasets used in economic models.
- Utilized different models and mathematical software (GAMS, Vensim), enabling the database to allow input and output and conversion of datasets between them.
- Helped multiple teams create databases for their statistical models.
Technologies: PL/SQL, Oracle, Microsoft Excel, Databases, Data Warehousing, Excel 2016, Database Structure, Transactions, MySQL, Statistics
Business Intelligence Developer
2003 - 2006
INDRA
- Designed, developed, and maintained an Oracle data warehouse in one of the biggest hospitals in Spain.
- Dealt with ETL loads, semantic layer, and daily monitoring.
- Mentored warehouse builder and MicroStrategy users.
- Maintained a proactive, customer-oriented presence with impeccable accountability.
Technologies: MicroStrategy, Shell Scripting, DevOps, Data Warehousing, Excel 2016, MySQL, Statistics
Bioinformatics Developer
2002 - 2002
CNR Milano
- Studied and produced a proof of concept for a full-text search engine for the retrieval of medical and biological literature from scientific web databases (PubMed, etc.) and international genome databases.
- Researched and developed an intranet proteomic application aimed at helping hemoglobin variations research.
- Created a cluster of 30 Linux machines to run different FASTA/BLAST searches.
Technologies: Oracle, Shell Scripting, Linux, Microsoft SQL Server, DevOps, Data, Transactions, Microsoft Excel, Statistics, Bioinformatics, Genomics
Bioinformatics Developer and DBA
2000 - 2002
FOCUS Diagnostics
- Helped build a European database of samples and antibiogram test results for an antibiotic surveillance network.
- Developed connections to different lab hardware and software.
- Facilitated extraction and data cleansing. Developed and maintained shell scripts and Python code to do ETL/ELT.
- Provided remote support to hospital personnel. Provided remote desktop and unattended maintenance.
Technologies: Linux, Oracle, Shell Scripting, Python, Data Modeling, Data, Data Warehousing, MySQL, Microsoft Excel
Helpdesk and Third-party Vendor Management Specialist
1998 - 2000
Syngenta Seeds
- Provided hardware and software maintenance, third-party provider management, and user support.
- Designed, developed, and maintained the sales department data warehouse.
- Helped migrate data from a legacy AS-400 to an SAP R/3 system.
- Maintained crucial vendor relationships with a service-oriented approach.
Technologies: Linux, Oracle, Shell Scripting, Data Pipelines, MySQL, Microsoft Excel
Support Engineer
1991 - 1998
Microsoft
- Applied a problem-solving approach to product support, customer support, troubleshooting, and beta testing.
- Developed samples and technical documentation to be included in the company knowledge base.
- Helped build a customer satisfaction data warehouse to measure call center performance.
- Communicated successfully with customers and handled issues/bugs/feature recommendations.
Technologies: Microsoft SQL Server, DevOps
Project History
A Preliminary Study for a Unified Time Series Model Data Warehouse
http://www.slideshare.net/dmoraschi/PP1-704726I handled the design, implemention, and rollout of an Oracle architecture aimed at supporting data interchange between different financial models written in GAMS and Vensim.
I also developed and supported an ETL tool used to convert datasets between several models (time series).
I also developed and supported an ETL tool used to convert datasets between several models (time series).
Business Intelligence with MicroStrategy Cookbook
https://www.amazon.com/Business-Intelligence-MicroStrategy-Cookbook-Moraschi-ebook/dp/B00G9308DQ/ref=sr_1_3?sr=8-3A book I authored and published via Packt.
About:
Learn about every step of the BI project, starting from the installation of a sample database. Design web reports and documents. Configure, develop, and use the mobile dashboard. Master data discovery with Visual Insight and MicroStrategy Cloud Express. Learn with the help of practical, real-life examples and screencasts for each exercise.
About:
Learn about every step of the BI project, starting from the installation of a sample database. Design web reports and documents. Configure, develop, and use the mobile dashboard. Master data discovery with Visual Insight and MicroStrategy Cloud Express. Learn with the help of practical, real-life examples and screencasts for each exercise.
Proyecto PANDAS
https://www.youtube.com/watch?v=nKmeod_SGFk&feature=youtu.beBusiness intelligence infrastructure for the healthcare data analysis based on SharePoint, Oracle, MicroStrategy, and Linux that was rolled out to 16 hospitals.
I developed a RESTful layer to interface MicroStrategy with SharePoint.
I developed a RESTful layer to interface MicroStrategy with SharePoint.
Microsoft Professional Program Data Science Certificate
https://academy.microsoft.com/en-us/certificates/bac602db-9cea-431b-952c-6988d4a69d0dThe Microsoft Professional Program is an industry-driven online learning program from Microsoft that teaches conceptual skills and provides hands-on experience that is necessary to succeed in some of today’s most exciting technical jobs. To earn this certificate from the Microsoft Professional Program, graduates earned passing scores from a rigorous curriculum that included activities like online video lectures, hands-on labs, exams, and assessments.
Education
1981 - 1986
Bachelor's Degree in Literature
Liceo Classico - Milan, Italy
Certifications
JUNE 2026 - PRESENT
Claude Certified Architect
Anthropic
JULY 2024 - PRESENT
AWS Certified Data Engineer – Associate
Amazon Web Services (AWS)
MARCH 2023 - PRESENT
Snowflake Hands On Essentials - Data Warehouse
Snowflake
MARCH 2023 - PRESENT
Hands On Essentials - Data Applications
Snowflake
MAY 2022 - PRESENT
Liquibase Fundamentals Certification
Liquibase
MAY 2021 - MAY 2023
Microsoft Azure Data Engineer Associate
Microsoft
MAY 2020 - PRESENT
MicroStrategy Certified Architect
MicroStrategy
NOVEMBER 2019 - NOVEMBER 2021
Google Cloud Certified - Associate Cloud Engineer
Google Cloud
MAY 2015 - PRESENT
Microsoft® Certified Professional
Microsoft
MARCH 2012 - PRESENT
MicroStrategy Certified Engineering Principal
MicroStrategy
Skills
Libraries/APIs
Liquibase, Pandas, Claude API
Tools
Microsoft Power BI, Excel 2016, Microsoft Excel, Apache Airflow, BigQuery, Tableau, AWS Glue, Amazon Redshift Spectrum, Jira, Amazon CloudWatch, Amazon Athena, Amazon SageMaker, Terraform, Claude Code, Claude Agent SDK
Languages
Transact-SQL (T-SQL), SQL, Snowflake, Python, Python 3, Bash, Bash Script, C#, XML/XSLT, JavaScript, R, C++
Paradigms
ETL, Business Intelligence (BI), Database Design, DevOps, Data-driven Design, Database Development, ETL Implementation & Design, REST, Azure DevOps, Dimensional Modeling, Microservices, Building Information Modeling (BIM), Model Context Protocol (MCP)
Platforms
Amazon Web Services (AWS), Oracle, Azure, Jupyter Notebook, Databricks, Linux, Kubernetes, Google Cloud Platform (GCP), AWS Lambda, Apache Kafka, Azure Synapse
Storage
Oracle PL/SQL, SQL Server 2012, Azure SQL Databases, Microsoft SQL Server, Oracle RDBMS, SQL Server 2014, SQL Server 2016, Azure SQL, Databases, PostgreSQL, SQL Stored Procedures, Data Pipelines, Database Modeling, Data Integration, Database Administration (DBA), Database Migration, Database Transactions, Database Structure, MySQL, SQL Server Integration Services (SSIS), Oracle 10g, Oracle 11g, SQL Server DBA, Oracle SQL, Amazon S3 (AWS S3), Amazon Aurora, Data Lakes, Oracle DBA, PL/SQL, JSON, Redshift, Relational Databases, NoSQL, AWS Data Pipeline Service, Apache Parquet
Frameworks
Windows PowerShell, Spark, .NET
Industry Expertise
Bioinformatics
Other
Data Warehouse Design, MicroStrategy, ETL Development, Data Analysis, Data Warehousing, Data Engineering, Data Marts, Data Analytics, Architecture, APIs, Data Modeling, Data Management, Data Architecture, Big Data, Big Data Architecture, DataOps, Data Visualization, Database Optimization, BI Reporting, Dashboards, Transactions, Data, ETL Testing, Data Science, Complex Data Analysis, Azure Data Factory (ADF), Integration, Team Leadership, Server Migration, Containers, ETL Tools, API Integration, Amazon RDS, CI/CD Pipelines, Writing & Editing, Microsoft Azure, HL7, Shell Scripting, Azure Data Lake, Azure Databricks, AWS Database Migration Service (DMS), Data Build Tool (dbt), Statistics, Genomics, Electronic Health Records (EHR), Tekla Structures, Data Governance, Data Quality
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring