Summary
Overview
Work History
Education
Skills
LANGUAGES
Timeline
Generic
Steven Esposito

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
Online
09-2022

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
Steven Esposito