Steven Esposito
Valencia
Summary
I’m Steven, a data professional with close to 5 years of experience developing business intelligence solutions. Always eager to learn and adapt, I aim to bring unique value through scalable data architecture, intelligent analytics and business-driven insights. Explore my GitHub to see some of my skills in action.
Overview
4
4
years of professional experience
Work History
Analytics Engineer
Commercetools
11.2024 - Current
- Designing and maintaining scalable, well-documented data models, ensuring consistent metric definitions and reliable analytics foundations across business domains (dbt + Dataform)
- Defining and maintaining a semantic layer (LookML) centralizing business logic, metric definitions, and relationships to ensure consistent, self-serve access to data across teams.
- Building and maintaining cross-cloud ETL pipelines (GCP + AWS) with Apache Airflow (Cloud Composer), handling ingestion from diverse sources including relational, non-relational (MongoDB), and object storage systems (S3, Athena).
- Expertise across cloud data warehouses including Snowflake, BigQuery, and Athena — ensuring optimal data architecture and query performance across diverse storage systems.
- Delivering analytical insights and dashboards (Tableau, Grafana) to Product, Engineering, and Customer Success teams — translating complex data into clear, actionable recommendations for non-technical stakeholders.
- Building BI Agents on Vertex AI (Google ADK) to automate data insights and enable self-serve analytics across business departments.
- Proficient in SQL and Python across GCP (BigQuery, Dataform, Cloud Composer, Cloud Functions, Pub/Sub) and AWS (Athena, S3, Lambda, Glue, Firehose) stacks.
Data Analyst
Coolbet
05.2023 - 10.2024
- Accessing Data Warehouse and writing queries to select, extract, and manipulate relevant data (PostgreSQL, Python).
- Accessing Tableau Server to select relevant data sources and implement data refresh schedules.
- Developing ad-hoc dashboards to answer specific business questions (Tableau).
- Scheduling and automating reports (Jenkins).
- Using Python scripts to schedule the refresh of database views/materialized views.
- Providing business intelligence insights to several departments (finance, casino, sportsbook, legal).
Data Analyst
Sutherland G.S.
09.2021 - 03.2023
- Identifying weekly/monthly trends, main KPIs and reporting them during weekly meetings with stakeholders.
- Accessing Data Lake (Snowflake), writing SQL queries to select relevant data, and connecting to Tableau to create visualizations and reports.
- Managing, controlling, and integrating data from multiple sources (ETL).
- Providing feedback and suggestions on review processes and workflows.
Education
Data Science With Python
Datacamp
Online09-2022
Skills
- SQL
- Python
- dbt
- Tableau
- GCP
- AWS
- Snowflake
- CircleCI
- Terraform
- Git
LANGUAGES
English (native)
Italian (native)
Spanish (fluent)
Timeline
Analytics Engineer
Commercetools
11.2024 - Current
Data Analyst
Coolbet
05.2023 - 10.2024
Data Analyst
Sutherland G.S.
09.2021 - 03.2023
Data Science With Python
Datacamp