Marcello Feroce

Working in Technology & Services - Enterprise, Finance, and Wealth - Enterprise Data Management. - Profitability: Working on data pipeline, from seeds to result, using data transformation. Using ETL and ETL tools. Switching from legacy ETL to more robust and modern ELT tools. Building CI/CD Pipeline with GitLab and Docker. Building pipelines to automate the creation of reports in different forms: Database table, XML, JSON, CSV, pdf - Wealth Management Investments: Transfering data from different Databases using different DBMS, due to bank merge. Modifying DNB business logic and pipelines for investments and savings, so that it emulates SBanken's one. Using Streamsets, Streamsets APIs, PostGres, DBT, GitLab, Snowflake, Apache Spark, AWS EMR, Apache Airflow, Spark Expressions - Generic Key Management: Working on the creation and retrieval of anonymized keys for bank customers, matching natural keys containing sensitive data. Migrating old solution to new logic with new tools and different implementation. Working with DB2, Flask, Azure DevOps Organizations, Azure Function App, Azure Key Vault, Snowflake, Python, Redis, Apache Airflow, Streamsets, Spark Expressions, Terraform Software development: Agile and Scrum. ETL/ELT: Datastage, DBT, Teradata Value Analyzer(For profitability), Vantage Customer Experience, Automation Studio Programming languages: Java, Python, SQL Procedural Language, Spark Expressions, Jinja Cloud Computing: Azure, AWS, Snowflake DBMS: Teradata, DB2, AWS S3, Snowflake DCVS: Git Documentation/Communication: Confluence, Jira, Slack, Microsoft Teams DevOps(CI/CD): GitLab, Docker, StreamSets, Azure DevOps Organizations - Polaris Working on the platform. Support onboarding of different "domains" within the bank to create valuable data products. Reading data from Kafka. Using Snowflake as data warehouse. Building transformation models with DBT. Orchestrating with Airflow

Research assistant ( Hilfswissenschaftler) at the Lehrstuhl of Energy and Application Technology. Working on the RegHEE project (https://www.epe.ed.tum.de/en/emt/research/application-areas/completed-projects/reghee/ ). Development, Maintenance and Optimization of a regional energy exchange system on an Ethereum blockchain system using Python APIs. Working with Solidity, PostgreSQL, Python, Web3.py

I worked on the backend mainly, with java, spring, springboot, python. I had the chance to have a short training about angular. I was part of a team of about 15 people, working in agile with 2 weeks sprints

Working in ASP .NET Using C#, Javascript, html, ms sql. I had to build a component for the company, also using the DevExpress tool. I had to use asp.net webForms and to create many views whose primary aim was to have a query builder that allowed users to create their own personalized query through a graphic interface. These query had to be saved in a sql server database, and loaded from a user. Then the output had to be in a gridview

I had to build a program using a microsoft based distributed system, (thus working mainly with C#), that converted a set of polar coordinates in the space to a .fbx file, runnable with autocad. Then comparing an original .fbx with the one my program generated. I even had to use many sdk to help me generating the .fbx file