Data Processing & Management

Web Developer with over eight years of experience specializing in web development, proficient in languages including Python, PHP, and JavaScript. Advanced through positions from junior developer to senior roles, also providing technical leadership in both educational technology and financial technology sectors. Currently focused on pre-sales as a Solutions Architect with deep expertise in Azure, Google Cloud Platform, and Amazon Web Services. Areas of specialization include software engineering, DevOps engineering, and data engineering.

An extensive background in market research has fostered a consistent expertise in data analysis, evident throughout the professional journey. This expertise encompasses sales analysis, campaign performance evaluation, and customer retention strategies within e-commerce and franchising sectors. Engagement in projects spanning goal deployment, e-commerce launches, and process optimization has further refined these skills. Proficiency in creating dashboards and reports through Excel and Power BI facilitates the visualization and monitoring of key performance indicators.

A developer with deep expertise in Extracting, Transforming, and Loading (ETL) data processes, exhibits proficiency in tools such as SSIS, SSAS, and SQL Server Database. A strong command over Hadoop and AWS is complemented by comprehensive knowledge of AWS Airflow, AWS DataPipeline, EC2, Linux, PySpark, Python, GCP DataFlow, and Data Fusion, AWS Cloud, and Cloudera’s Impala and Hive. Experience includes creating and supporting complex routines using PySpark, Shell Scripts, and AWS services like EMR, Data Pipeline, and AirFlow. Additionally, developed queries in Impala/Hive and served as a technical reference point for the team. Skilled in data extraction and importation from various sources and destinations including MongoDB, PostgreSQL, Google Cloud Storage Buckets, and AWS S3. Ready to embrace new challenges that enable the application and enhancement of advanced technological skills.

Pursuing a degree in Computer Engineering with an anticipated graduation date of December 2021.

Experienced Data Analyst with a record of success in Martech, Product Analytics, Customer Analytics, and Data Product Development. Demonstrated ability to deliver high-quality data solutions within both startup environments and established enterprises in LATAM and Europe. Proficient in the Python ecosystem, including FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, and Keras. Adept at developing data products using cloud technologies such as Azure Data Factory, AWS Redshift & Glue, and GCP Dataproc & Big Query. Skilled in data orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow, alongside experience in CI/CD environments with GitHub, GitLab, Confluence, and Jira.

Proven expertise in programming, refactoring, and debugging. Experienced in working remotely within agile teams, possessing a proactive attitude and strong teamwork capabilities. Dedicated to designing data products that are high in quality, scalable, and impactful. Self-taught and curious, with a history of contributing to the transformation and growth of startups while generating value in larger companies.

An avid long-range cyclist, exploring the synergy between technology and cycling, and a gaming enthusiast, particularly interested in immersive gaming experiences.

Possesses extensive expertise in Python and the broader Data/Big Data ecosystem. Demonstrated proficiency in Python development with a strong focus on maintaining high code quality. Knowledgeable in various technologies, including ElasticSearch, Scala, Spark, SQL, AWS services (Athena, S3, SQS, Lambda), Jenkins, Web Scraping (Crawler), C, and C++. Exhibits dynamism, excellent communication abilities, and a high level of dedication. Open to engaging in discussions where mutual interest exists.

Mathematics student with a burgeoning focus on data science and machine learning. Developed expertise in creating non-linear optimization algorithms utilizing Fortran. Seeks to leverage mathematical acumen in computing to enhance process efficiency and optimization.

Data Engineer specializing in the construction and maintenance of data processing architectures utilizing cloud services. Proficient in developing data ingestion and processing algorithms with Python and PySpark, and skilled in the design and modeling of Data Lakes and Data Warehouses to facilitate data storage and analysis.