Davide Di Grande
“mental meandering and personal experimentation are sources of power, and head starts are overrated” - David Epstein, Range
Development of Data Management, Data Observability, and Analytics solutions on AWS.
Developement of RAG applications with Java/Python/Langchain/FastAPI/Elastic
Participating in presales activities and interacting with technology vendors.
Provided teaching for a comprehensive data course, including live coding sessions with students and asynchronous exercise correction.
Guided students from the basics to advanced skills, starting with simple Excel analyses and progressing to complex data manipulation and exploratory data analysis (EDA) using SQL, Python, and Pandas.
Led the final Data Analysis project, where students performed an in-depth EDA on the Titanic Dataset:
github.com/davidedigrande/titanic-dataset-eda.
Worked on a variety of projects within various business domains, in a small and agile team.
Contributed to the design and implementation of applications backends, business logic and relational database structures using Python and ORM frameworks. Developed clean, normalized database schemas to reflect business requirements, facilitating complex workflows and system efficiencies.
Developed backend integration of web APIs using Python, focusing on multi-platform state synchronization and client's workflows automation regarding external services.
Contributed to the development of a Cloud Data Platform at BMW Europe, leveraging PostgreSQL as a Data Warehouse and AWS services to manage with evolving business needs data from heterogeneous sources.
Developed and optimized ETL scripts using AWS Glue, Python, PySpark and other technologies, ensuring efficient data integration and transformation processes, with a strong focus on processes observability (CloudWatch).
Orchestrated Lambda services via Step Functions to implement business logic.
Designed CloudFormation stacks to automate the deployment of the aforementioned functionalities with IaC practices.
Mainained a JEE8/Java Spring Framework Application.
Software Engineer at the R&D department.
Partecipated in building the company's Data Warehouse for ML Models training and other data-centric projects by designing, developing, maintaining and deploying ETL workflows to populate the Data Warehouse.
Developed other smaller web-apps as POCs with Django and MongoDB.
Supporting other projects with ad-hoc intervetions both inside the department and outside, on clients' projects.
Google IT Support Certificate
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Coursera
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Oct 2020
Explored an array of business disciplines including operations management, financial analysis, marketing, and strategy formulation. Microeconomics, macroeconomics, econometrics, statistics to model and understand the environment businesses operate in.
Laid the fundaments of my programming and computers knowledge studying Algorithms and Data Structures, Relational Database Design and SQL, Systems and Networking, OOP, Java, Maths and Statistics.