I am a programmer and an entrepreneur in the internet industry, Hello, world! I'm Aimmon, a passionate programmer and entrepreneur in the exciting realm of the internet industry. With a strong command over Big Data technology, Java, Python, and various other programming languages, I thrive in creating innovative solutions that push the boundaries of what's possible. The Big data technology stack is as follows: Hadoop: Includes Hadoop Distributed File System (HDFS) and MapReduce computation model. Spark: Fast and general-purpose cluster computing framework for batch processing and real-time data processing. Hive: Provides SQL-like query language for data analysis and querying on big data storage. HBase: Distributed columnar database for fast read/write operations on large-scale datasets. ClickHouse: High-performance columnar database for real-time analytics on big data. Data Stream Processing: Kafka: Distributed streaming platform for high-throughput data ingestion and real-time data stream processing. Flink: Distributed stream processing and batch computation framework, supports event-driven applications. Spark Streaming: Streaming module of Spark for real-time processing and analysis of data streams. Databases and Data Warehouses: MySQL: Open-source relational database management system for data storage and querying. Redis: In-memory key-value store database for high-performance data caching and real-time data processing. Kylin: Distributed analytics engine for OLAP analysis on large-scale datasets. Superset: Open-source data visualization and exploration tool, supports multiple data sources. Data Processing and Analysis: Python: General-purpose programming language widely used for data processing and analysis tasks. Scala: Programming language widely used in the big data ecosystem, particularly for Spark. Java: General-purpose programming language for building large-scale and high-performance data processing applications. Monitoring and Management Tools: Zabbix: Open-source network monitoring and management solution for real-time monitoring of large-scale distributed systems. Atlas: Data lake and metadata management platform for managing and discovering data assets. Over the years, I have honed my skills and expertise in Big Data technology, enabling me to analyze vast amounts of complex data and extract valuable insights. This proficiency has allowed me to develop scalable and efficient systems that drive data-based decision-making for businesses. By leveraging the power of technologies like Hadoop, Spark, and distributed computing, I have successfully handled large-scale data processing and analytics projects, empowering organizations to make informed strategic choices. Java and Python are my go-to languages, and I have mastered their frameworks and libraries to build robust and scalable applications. Whether it's developing web applications, implementing machine learning algorithms, or creating APIs, I have a track record of delivering high-quality software solutions that meet both business requirements and end-user expectations. As an entrepreneur, I have a keen eye for identifying market opportunities and leveraging technology to address them. Through my ventures, I have embraced the startup culture, fostering innovation, and collaborating with talented teams to turn ideas into reality. I thrive in dynamic environments and possess the agility to adapt quickly to evolving market trends and customer needs. Beyond my technical prowess, I am a firm believer in continuous learning and personal growth. I actively engage in the developer community, attending conferences and participating in hackathons to stay updated with the latest advancements. Sharing knowledge is a passion of mine, and I enjoy mentoring aspiring programmers and empowering them to excel in their careers. In addition to my programming skills, I bring strong leadership and business acumen to the table. I possess excellent communication and collaboration skills, enabling me to effectively bridge the gap between technical and non-technical stakeholders, aligning teams towards shared goals. If you're looking for a dedicated and innovative programmer with a proven track record in the internet industry, I'm here to help. Let's connect and explore how we can make a positive impact together.

Experienced Full stack developer, with vast IT experience. Skills include, analytical thinking and creative problem solving. Able to apply customer service concepts to IT to improve user experience for clients, employees and administration. Tech brief: OOP, Java, React JS, SQL, NOSQL, AWS

PROFESSIONAL SUMMARY Data Engineer with 5 years of experience, specializing in PySpark, SQL, ETL, AWS, Apache Airflow, and Databricks. I build scalable data pipelines, optimize large datasets, and automate workflows to deliver reliable, high-performance data solutions. If you're looking for clean, efficient, and production-ready data engineering, let's work together.

I focus on data engineering, software engineering, ETL/ELT, SQL reporting, high-volume data flows, and development of robust APIs using Java and Scala. I prioritize three key elements: reliability, efficiency, and simplicity. I hold a Bachelor's degree in Information Systems from Pontifícia Universidade Católica do Rio Grande do Sul as well as graduate degrees in Software Engineering from Infnet/FGV and Data Science (Big Data) from IGTI. In addition to my academic qualifications I have acquired a set of certifications: - Databricks Certified Data Engineer Professional - AWS Certified Solutions Architect – Associate - Databricks Certified Associate Developer for Apache Spark 3.0 - AWS Certified Cloud Practitioner - Databricks Certified Data Engineer Associate - Academy Accreditation - Databricks Lakehouse Fundamentals - Microsoft Certified: Azure Data Engineer Associate - Microsoft Certified: DP-200 Implementing an Azure Data Solution - Microsoft Certified: DP-201 Designing an Azure Data Solution - Microsoft Certified: Azure Data Fundamentals - Microsoft Certified: Azure Fundamentals - Cloudera CCA Spark and Hadoop Developer - Oracle Certified Professional, Java SE 6 Programmer My professional journey has been marked by a deep involvement in the world of Big Data solutions. I've fine-tuned my skills with Apache Spark, Apache Flink, Hadoop, and a range of associated technologies such as HBase, Cassandra, MongoDB, Ignite, MapReduce, Apache Pig, Apache Crunch and RHadoop. Initially, I worked extensively with on-premise environments but over the past five years my focus has shifted predominantly to cloud based platforms. I've dedicated over two years to mastering Azure and I’m currently immersed in AWS. I have a great experience with Linux environments as well as strong knowledge in programming languages like Scala (8+ years) and Java (15+ years). In my earlier career phases, I had experience working with Java web applications and Java EE applications, primarily leveraging the WebLogic application server and databases like SQL Server, MySQL, and Oracle.

Hands-on Engineering Leader and System Architect with 20 years of experience designing, building, and scaling high-throughput, cloud-native backend and data platforms. Blends deep technical expertise in distributed systems, event-driven architectures, and big data processing with 8+ years of technical leadership experience. Proven track record of personally architecting platforms that scale to 2,000+ QPS and handling ingestion pipelines processing 20M writes/minute at 99.99% availability. Master’s in Computer Science (AI/ML specialization) with active, hands-on mastery in Java, Python, Scala, Spark Streaming, GCP, and Kubernetes. Known for driving system modernizations such as migrating core databases to cut infra costs by 20%.

I'm a proficient data application engineer with 10+ years of working experience and a strong command of Java. I've built robust big data platforms using technologies such as Hadoop, Hive, Doris, and Flink. Specializing in Java web applications, I excel in frameworks such as Spring Boot and JPA.

Passionate Software Engineer and AI Practitioner with a strong background in full-stack development, data engineering, and applied machine learning. I specialize in designing reliable, scalable systems and turning abstract ideas into real, high-impact solutions. -Tech Stack: Python, JS/TS, Laravel, Odoo, MongoDB, MySQL -Focus Areas: Data Science · LLM Evaluation, AI Integration, System Architecture

I’m a Senior Data Engineer with 5+ years of experience building reliable, scalable data pipelines, both batch and real-time on AWS, GCP and Kubernetes. I specialize in ETL/ELT, data lakes, data warehouses, streaming (Kafka/Spark), and modernizing legacy systems into cloud-native platforms. I’ve delivered pipelines processing 2+ TB/day and serverless ETL for enterprise analytics. If you need a data engineer who communicates clearly, solves problems fast, and can own your project end-to-end, I can help. Happy to provide an architecture plan or technical proposal before starting.

I'm a developer with experience mainly in handling back-end applications. I have nearly a decade of experience in writing and supporting code at the highest levels of quality in one of the biggest companies. My main skills are around handling: 1. Code customization 2. Code integration 3. SQL queries and optimization 4. HBase/Hive development and support

java 6-21, Algorithms, SQL, Spark, Spring, Hbase, PostrgresSQL, GCP, Jira, Swing., JUnit, Mockito, Git. job experience 5 years as Java developer.