Jonathan S.
Data Engineer

Skills

Spark

Databricks

Microsoft Sql Server

Python

Microsoft Azure

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Bio

A Data Engineer highly specialized in Big Data and advanced analytics, possessing a postgraduate degree in Data Engineering and an undergraduate degree in Computer Science. Certified in Azure and Databricks, demonstrating a strong commitment to continuous professional development. Accumulating five years of technology experience, with a focus on data roles over the past four years, including a recent project that involved developing scalable and efficient data pipelines and robust data architectures to support advanced analytics. Expert in collaborating with multifunctional teams to address data needs, optimizing SQL queries to ensure data integrity, reliability, and security, and skilled in data manipulation using Python and SQL. Proficient in utilizing technologies such as Spark and Databricks for distributed processing and big data analysis.

Proficiency in cloud environments such as AWS and Azure includes the implementation of data pipelines, system integrations, and performance optimizations. Strong skills in Power BI for data visualization are supported by experience in Linux and Docker. Committed to further skill development in data architecture and engineering through curiosity and self-learning.

Areas of expertise encompass Data Engineering, Big Data, Analytics, Machine Learning, Data Science, SQL, Python, Hadoop, Spark, Data Warehousing, ETL (Extract, Transform, Load), Data Modeling, Cloud Computing, NoSQL, Business Intelligence, Data Pipelines, Data Visualization, Data Mining, Stream Processing, and Distributed Systems.

Support Analyst
11/1/2020 - 4/1/2021

Developed proficiency in providing Level 1 support, encompassing the entirety of tool training and direct customer service. This role involved extensive interaction with customers to address their queries and resolve issues efficiently. Accumulated experience in identifying and documenting bugs, as well as reporting inconsistencies within the system to facilitate prompt resolution. Demonstrated strong communication and problem-solving skills, ensuring high levels of customer satisfaction.
Data Engineer II
10/1/2023 - Present

Served as a Data Engineer II with over one year of experience, specializing in building data pipelines and transforming data for analytical purposes. Acquired proficiency in key programming languages such as Python and SQL, leveraging advanced Big Data tools like Apache Spark and Databricks. Demonstrated expertise in cloud technologies, particularly with Microsoft Azure, and employed project management methodologies using JIRA. Maintained stringent version control protocols through Git. Earned certifications including Microsoft Certified Azure Data Fundamentals (DP-900) and Databricks Data Engineer Associate, validating the capability to manage complex, large-scale data operations. Academic credentials include a bachelor's degree in Computer Science and an MBA in Data Engineering.
Data Engineer
10/1/2022 - 10/1/2023

Executed the design and development of robust data pipelines leveraging Apache Kafka for real-time data streaming and Apache Spark for high-performance processing. Utilized AWS services such as S3, Redshift, and EMR to ensure scalability and efficiency in data storage and analytics. Demonstrated proficiency in Python and SQL for data manipulation and transformation tasks. Implemented data pipeline monitoring and logging using tools like Datadog and Prometheus, ensuring high availability and reliability. Collaborated with cross-functional teams using Agile methodologies and utilized Git for source code management and version control.
Data Analyst I
1/1/2022 - Present

Responsible for the development and coordination of data analysis projects aimed at meeting the needs of decision-makers. Successfully sought to optimize sales performance for executives and team members. Developed expertise in data manipulation and analysis using tools such as Python, R, and SQL. Utilized business intelligence platforms, including Tableau and Power BI, to create insightful data visualizations. Applied statistical methods and predictive modeling techniques to generate actionable insights. Coordinated with cross-functional teams to ensure data integrity and effective communication of findings. Enhanced project management skills through the use of Agile methodologies and JIRA for task tracking. Ensured data security and compliance with privacy regulations through knowledge of GDPR and data governance best practices.
Data Analyst
9/1/2021 - 1/1/2022

Led and coordinated BI analysis projects to measure the performance of social media and agency campaigns, including platforms like Instagram, LinkedIn, Facebook Ads, and Google Ads. Leveraged data analytics to track and assess campaign effectiveness, generating insights that were presented to clients to inform strategic decisions. Developed expertise in BI tools and methodologies, ensuring accurate performance measurement and insightful analysis.
BI Analyst Jr
4/1/2021 - 11/1/2021

Acquired extensive experience in data analysis and the development of customized dashboards utilizing Power BI. Proficient in creating automation scripts and workflows, enhancing efficiency in data processing and reporting tasks. Regularly engaged in direct customer contact, leading meetings to understand requirements, providing training related to the company's reporting panels, and contributing to project sales. Demonstrated adeptness in understanding client needs and translating them into actionable insights through data visualization and automation.
Young Apprentice
1/2/2019 - 1/1/2020

Served as a Software Engineer in the São Paulo region, demonstrating technical excellence in Python and Java development. Leveraged frameworks such as Django, Flask, and Spring to build scalable web applications. Applied expertise in front-end technologies, including React.js and AngularJS, to enhance user experience and responsiveness. Utilized AWS for cloud computing solutions, facilitating continuous deployment and integration. Showcased strong database management skills through the use of MySQL, PostgreSQL, and MongoDB. Mastered containerization with Docker and orchestrated services using Kubernetes. Ensured efficient version control and collaborative development with Git. Emphasized software quality by implementing rigorous testing practices with pytest and JUnit. Delivered robust API solutions using RESTful services and GraphQL, optimizing performance and scalability. Focused on problem-solving and the integration of cutting-edge technologies to drive innovation within projects.