José Luis Cruz Jaramillo

Software Developer with 7 years of experience as a Python Developer (Data Scientist, and ML Analyst), Data Engineer (SQL Databases and Datalake), and Bioinformatician. Experienced data engineer specializing in Python, Spark, and PySpark through Databricks, with proficiency in cloud platforms such as Azure and GCP. Skilled in designing and implementing end-to-end data pipelines, emphasizing seamless integration and utilizing Apache Spark for large-scale data processing. Expertise includes leveraging Azure and GCP services for efficient data storage and processing.

Principal skills Programming Languages: Python, SQL, Shell (Linux) and R, having experience in application development for data processing, extraction, modeling and deployment of applications. Julia, Scala, Javascript and Golang with basic usage knowledge. Script Programming: Interfaces Development with CLI paradigm, using argument parsing, adding scripts to environments and to the Linux path system, as a local executable and with user/group permissions. Environment Management: Creation and maintenance of Anaconda, Pypenv, Poetry, Podman and Docker container environments. APIs: Basic handling of libraries such as Flask, FastAPI for handling requests between servers. Proficient in using Python to interact with APIs for accessing and manipulating data from external web services. Able to make HTTP requests using libraries such as ‘requests’, process JSON and XML responses, and utilize the retrieved information to integrate third-party data into applications and projects. Data Analysis: Management of Interfaces such as Jupyter, Colab, Kaggle, VSCode, Rstudio. Main handling of Pandas, Polars, Datatable and Koalas (these in Python), and Tidyverse metapackaging (in R). Data Visualization with Seaborn, Plotly (Python) and with ggplot and ggplotly (in R). Machine Learning: Experience with the main libraries for training and data modeling: Scikit-learn (Unsupervised grouping models such as KMeans, DBScan, Birch, Supervised Modeling with Support Vector Machine, Nearest Neighbor, Random Forest and Decision Trees), Keras, Tensorflow and XGBoost (For Forecasting-type modeling, using different prediction improvement criteria). Natural Language Processing: Experience in NLTK and Spacy libraries with dictionaries in English and Spanish. Identification of different common expressions in social networks. Experience in use of Regular Expressions for string matching and replacing. Optical Character Recognition: Experience in implementing and enhancing OCR with Tesseract, pytesseract, and OCRmyPDF for efficient document digitization and processing. Databases: Management of structured databases and queries using SQL and T-SQL. Management of databases such as Azure Data Studio and Microsoft SQL Server Management Studio (SSMS). Interaction between Apache Spark Server and Python with the Pyspark library. Web Scraping: Data extraction from websites using the Requests and Selenium libraries, tag management using Scrappy and BeautifulSoup. Automatization: Management of cron and crontab to schedule the routine execution of scripts. Management of Snakemake and Pytask task orchestrators

Education: Master in Sciences in Biotechnology · Cinvestav Zacatenco · Sep 2012 - Nov 2014 · Graduated Biotechnology Engineer · UPIBI IPN · Aug 2007 - Dec 2011 · Graduated Technical Career in Computer Networks · CET 1 IPN · Aug 2004 - Jul 2007 · Inter