
Data Engineer ••• Scala | Python | HDFS | Hive | Kafka | Informatica CDM | Spark(Core,SQL,Streaming), MapReduce | AWS | Azure | SQL
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Assessing your cultural and operational fit
AWS-Test-S3--Glue--RDSinstance--IAM-securityGrups--Postgres-Lambda--API-RESTful
February 25, 2025 – February 25, 2025
AWS-Test-S3--Glue--RDSinstance--IAM-securityGrups--Postgres-Lambda--API-RESTful — GitHub repository
View ProjectCO2-Emissions-by-London--project
February 19, 2025 – February 21, 2025
CO2-Emissions-by-London--project — GitHub repository
View ProjectAE_Control-Predictivo-de-Modelos-MPC-
October 18, 2023 – January 24, 2024
AE_Control-Predictivo-de-Modelos-MPC- — GitHub repository
View ProjectAE_exampleSurveillanceModel-scala
October 15, 2023 – October 15, 2023
AE_exampleSurveillanceModel-scala — GitHub repository
View ProjectAE_ETL-Transformation-snowflake
October 10, 2023 – October 10, 2023
AE_ETL-Transformation-snowflake — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a breadth of interest in data science, ETL, and cloud technologies, which aligns with a data-driven culture. The diversity of projects, including those with Scala, Python, and AWS, suggests an eagerness to explore different tools and solve varied problems. However, without professional experience or detailed project descriptions, it's difficult to fully assess cultural fit beyond technical curiosity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.