Sergio Sánchez
Data Engineer
Skills
Statistics and Machine Learning
- Knowledge of Deep Learning based models (specially RNN).
- Knowledge Machine/Statistical Learning based models.
- Deep knowledge on basic and advanced statistical techniques.
- Knowledge on Bayesian Statistics techniques.
- Deep knowledge on Data Visualization techniques.
- Wide formation in classic statistics.
Data Engineering Stack
- Deep Knowledge on most wide used techniques for classic ETL.
-
Knowledge most modern stack such as protocol buffers and event based data.
Google Protobuffers
-
Wide experience in administration and usage of rela- tional database, cloud and on-premise.
Redshift, MySql
-
Knowledge on usage of no relational database.
Dynamo, MongoDB
-
Knowledge on usage of storage systems and filesystems, cloud and OS related.
S3, linux filesystems etc
- Detailed Knowledge on usage and administration of Apache Airflow
-
Wide experience in most (and not so used) AWS services.
Redshift, spectrum, kinesis, lambdas, S3, EC2 etc.
Languages And Software
- Python
- R (statistics programming)
-
SQL
(specially dialects based on PostgteSql)
- Basic on C and C++
- Basic on golang
-
Deep knowledge on UNIX based systems
Specially linux distros based on Arch.
- Command Line Interface
- Bash
- AWS
-
Git
GitHub workflows too
- Docker
- Jenkins
-
Vim
Preferred editor for coding/editing files.
Professional Skills
- Analytic mind
- Responsable
- Rapid Prototyping
- Agile Methodologies
- Communicative
Languages
-
Spanish
Expert
-
English
Advanced
-
Catalan
Intermediate
