David Regalado's Linkedin Analytics

Hi there! Thank you for visiting my profile. I am passionate about data & AI. Throughout my 15 years of professional experience I have seen projects of various types, sizes and industries. Summary In my country, I've worked in the biggest companies like: - Financial Services: Scotiabank, Interbank - Telecommunications: Telefónica del Perú, Claro - Consulting: Teradata Perú, Indra, Encora - Consumer Credit Reporting Agencies: Equifax - Ad-Tech: Manya.pe In those companies, I did the whole data lifecycle: data extraction, ingestion, data manipulation, data modeling (normalization, denormalization, etc), data analysis, data quality assessments. In short, the ETL part (data pipelines) + data analysis. Achievements: The Data Warehouses/Lakes and dashboards were delivered to my clients, so they could start making data-driven decisions. These recent years I've been working for U.S. clients as a contractor. Specifically: - Academics: University of Chicago - Cyber Security: Anomali - Ad-Tech: Clevertech - Startup: Nebula.io Achievements: Data pipelines delivered and students gratuated from the University program. Highlight - Founder at Data Engineering Latam, the largest, fastest-growing data community in Latin America: https://www.linkedin.com/company/data-engineering-latam - I taught Python for Data Science in the University of Chicago. - Recognized as Champion Innovator by Google Cloud - I led teams of 20 people in 3 different occasions. - Recurrent speaker and jury in Big Data and Cloud Computing events. Studies - Systems Engineer from the Technological University of Peru (UTP), tenth superior. - With a specialization in Data Science from Johns Hopkins University. - With a specialization in Data Warehousing for Business Intelligence from Colorado University. - With a specialization in Data Science and Big Data Analytics from MIT. - With 4 certifications, 15 specializations and 46 Google Cloud Platform digital badges. - With studies in Artificial Intelligence at UBA-IALAB Tech stack Cloud Computing: Google Cloud (GCP), AWS, Azure Data Engineering: Apache Beam, Airflow, Spark, Databricks, Snowflake, dbt, Hadoop, Hive, Luigi Databases: BigQuery, Teradata, MongoDB, Elasticsearch, Oracle, SQL Server, PostgreSQL, Mysql Data Visualization: Power BI, Tableau, Looker, Data Studio Programming languages: Python, Scala, R DevOps & CI/CD: Terraform, Docker, Kubernetes, Git, GitHub Roles CTO, CDO, CDAO, Data Science Manager, Data Engineering Manager, Head of Data, Tech Leader, Data Architect, Data Engineer, Data Scientist, BI Consultant.