Apache Hadoop

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.

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.

A dedicated student and passionate data science enthusiast, actively seeking an initial opportunity for professional growth and enhancement. The primary goal is to acquire competencies and skills essential for comprehending business strategies and requirements. This includes the ability to manage, design, and develop comprehensive analytical solutions within the field of Data Science.

A data engineer and business intelligence analyst with over four years of experience in the industry. Gained foundational knowledge through academic pursuits and further honed technical skills through additional coursework, lectures, and the completion of personal projects. Demonstrates proficiency in programming languages including Python, R, Scala, and Java, and possesses a thorough understanding of machine learning techniques and statistical modeling. Skilled in data visualization tools such as Power BI and Tableau, with extensive experience in ETL processes, big data technologies like Spark and Hadoop, and cloud platforms including Azure, AWS, and GCP. Adept in managing both SQL and NoSQL databases.

Systems Analyst holding advanced degrees in Artificial Intelligence, Machine Learning, Data Science, and an MBA in Database Administration. Specializes in business intelligence, IT infrastructure, and High-Performance Computing (HPC), with a current emphasis on data pipeline development.

Data Engineer with a specialization in ETL/ELT processes utilizing PySpark and expertise in cloud migrations. Proficient in Microsoft Azure and familiar with other cloud services, including AWS and GCP. Demonstrates strong discipline and teamwork capabilities. A proactive problem-solver committed to continuous learning and innovation in the data engineering field.

With a Bachelor in Computer Science and a Master's degree in Information Technology, extensive experience in software development has been cultivated since 2006. Specializing in senior development roles, proficiency encompasses Java, C#, and front-end development with Angular. Expertise in technical leadership and software development architecture is well established. Previous roles include data engineering, and the current position involves leading technical teams. A significant achievement includes an annual cost reduction of $800,000 for a major company, which was recognized with a prestigious engineering award.