I am a System's Engineer living in Argentina and I have been working as a Senior Software Engineer for the past 9+ years. These are some projects I have worked on: jBilling: Canadian company that has a Complex Billing System ideally for Telco companies or any company that sell services based on subscriptions. Stack: Java J2EE, Grails, Hibernate, Spring, Hbase, Hadoop, ActiveMQ, RabbitMQ, Apache Velocity, Jasper Report, jQuery, HTML, CSS and PostgreSQL Taaxii: Argentinean Company that has a solution for Travel Logistics for Company Employees. Stack: Java J2EE, Hibernate, GWT, Ibatis, Android, iOS, MySQL, AWS EC2, AWS S3, AWS RDS and Other AWS Services. Evolticom: Sweedish Company that had a CRM Web Solution. Stack: Grails, Bootstrap and PostgreSQL. DXC: Former HPE area where I worked with them to implement jBilling for the City of Dubai. FusionSleep: US Company that had a solution to control Truck drivers sleep behaviors. Stack: Grails, HTML, CSS and PostgreSQL. Autoentrada: Argentinean Company with a web solution for selling theater tickets online. Stack: Java J2EE, Struts, Ibatis, Jasper Report, HTML, CSS, PostgreSQL. Workia: Argentienan Company specialized in Human Resources Management. Stack: Java J2EE, Spring Boot, Angular JS, Microservices, HTML, CSS. SouthWest Airlines: Main US Low Cost Airline Company. I was involved in migrating existing applications to Java Web based solutions. Stack: Java J2EE, Spring, Spring MVC, Hibernate, HTML, CSS, Grails. Main roles and responsabilities I was involved in these projects: Analysis, Technical Design, Development, Testing, Team Leader, Technical Leader, DevOps.

Professional Profile I have approximately ten years of Java development experience, I possess a proficient command of the Java technology stack and demonstrate a solid programming skillset, coupled with outstanding problem-solving abilities. Successfully delivered high-quality software solutions across multiple projects, I am well-versed in various aspects, including proficiently drafting design documents, Java coding, conducting code reviews, and collaborating on testing and debugging. Additionally, I have served part-time roles within the team as Deputy Project Manager (responsible for overseeing the technical team and leading recruitment efforts) and technical team leader. In these capacities, I took charge of evaluating and ensuring the code quality for the entire team, setting standards, and formulating guidelines. I have excellent teamwork and communication skills. I dedicated to developing high-quality web applications, and I prioritize user experience and performance optimization in my work. I maintain a keen interest in staying abreast of new technologies, displaying a willingness to continuously learn and grow. I proficient or adept in the following technology stack: Java, MySQL, Python, Shell, Spring Boot, Linux, Nginx, Git, Maven, IDEA, data structures and algorithms, DevOps pipeline service construction, server deployment and maintenance, etc. I have also attained a passing grade in the National College English Test (CET6).

Data scientist and AI specialist with more than 15+ years of experience in the Telecom, Banking, Food delivery and Software industry specializing in the deployment of advanced AI techniques such as Machine Learning (ML), Deep Learning (DL), Gen AI, and Recommendation Engine. Expert in developing Augmented AI solutions including Revenue forecasting, Customer segmentation, product recommendation, actionable predictions (like Churn, Dropper, Digital affinity, Revenue Upshift) , and customer sentiment analysis through Gen AI. Proficient in handling large-scale data using Teradata and Big Data technologies like Hadoop and Spark, and deploying scalable AI models on cloud platforms like AWS and Azure. Strong strategic vision, aligning AI initiatives with business goals, capable of translating complex AI concepts into actionable business strategies for C-level executives. Committed to continuous innovation, staying at the forefront of AI and Business advancements to drive competitive advantage.

Hands-on design and development experience on Hadoop ecosystem (Hadoop, HBase, PIG, Hive, and MapReduce) including one or more of the following Big data related technologies - Scala, SPARK, Sqoop, Flume, Kafka and Python, strong ETL, PostgreSQL experience as well Strong background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and microservice architecture * Experience in Cloudera Stack, HortonWorks, and Amazon EMR * Strong experience in using Excel, SQL, SAS, Python and R to dump the data and analyze based on business needs. * Strong experience in Data Analysis, Data Migration, Data Cleansing, Transformation, Integration, Data Import, and Data Export through the use of multiple ETL tools such as Ab Initio and Informatica PowerCenter * Strong understanding and hands-on programming/scripting experience skills - UNIX shell * An excellent team player & technically strong person who has

Experienced Lead DevOps Engineer, Lead Assistant manager, and Big Data Platform Administrator with around 9 years of experience in AWS, Azure, GCP, Hadoop and Linux. Excellent reputation for troubleshooting skills, resolving problems and improving customer satisfaction. Certifications: AWS Certified AI Practitioner Early Adopter AWS Certified Solutions Architect – Professional AWS Certified Solutions Architect – Associate GCP - Cloud Digital Leader Microsoft Certified: Azure Administrator Associate AWS Certified Cloud Practitioner HDP Certified Administrator Academy Accreditation - Generative AI Fundamentals Academy Accreditation - Databricks Lakehouse Fundamentals SKILLS *Cloud: AWS managed services Azure cloud services Google Cloud Computing Services GitHub, Git Actions, Git workflow Terraform Ansible * Hadoop: HDFS, YARN, Hive, Impala, HBase, Oozie, Zookeeper, HUE, Kafka, Kudu, Sentry, Ranger. Cloudera, Ambari HDP, CDH, CDP, CDF, HDF * Database: MySQL, Postgres, MariaDB, SQLite, H2 * Third Party Ecosystem Tools: NiFi, Airflow, Talend, Schema Registry, Kylo, Zoomdata, Trifacta, Dataiku, Datameer * Security: AD, LDAP, Kerberos, TLS/SSL * Monitoring: CM TSQuery, Grafana, InFluxDB, LogicMonitor, Tableau * Scripting: Shell, Python, Hive scripting, API, Jenkins, J2, Swift * Ticketing Tools: JIRA, Zendesk, ServiceNow, Slack integration

Looking jobs on anything related to: - Big Data: Hadoop, Hive, HBase - Analytics: Spark, Pandas - Data flow: Flume, Sqoop - Programming: Java, Python, pHp - Web Technologies: HTML, CSS, Reactjs - Linux - Cloud platforms: Azure, gcp

I help companies build enterprise-grade AI applications and scalable backend systems. With 10+ years of software engineering experience, I specialize in AI Agent development, Large Language Model (LLM) integration, Retrieval-Augmented Generation (RAG), Python backend development, Java microservices, and big data platforms. Recently, I have been developing enterprise AI solutions, including AI Agent platforms, intelligent document processing systems, contract review platforms, and automated report generation systems. My work covers the entire AI application lifecycle—from document parsing, knowledge base construction, RAG pipelines, Prompt Engineering, and workflow orchestration to production deployment. Prior to AI, I spent several years building enterprise-scale data platforms using Apache Flink, Kafka, Hadoop, HBase, Elasticsearch, and Spark. I have extensive experience designing distributed systems, optimizing large-scale data processing, and solving complex production issues. I enjoy turning complex business requirements into reliable software and always focus on code quality, maintainability, and long-term scalability. If you’re looking for someone who can build production-ready AI applications or robust backend systems, I’d be happy to help.

Fascinated by how raw data transforms into real-time decisions, I built my Data Science journey around hands-on engineering. Driven by this curiosity, I focus on designing scalable pipelines to process high-velocity data streams and solve complex problems. Equipped with Kafka, Spark, Flink, Airflow, and Docker, I continuously bridge the gap between Big Data concepts and real-world implementations.

Overall 6 years of experience in IT industry with 4 years of relevant experience in Big Data Engineer, handling and transforming heterogeneous data into Key information using Hadoop ecosystem. - Expertise with the tools in Hadoop Ecosystem – HDFS, Hive , Sqoop, Spark, Kafka, Nifi. - Experience working with Elastic Search, Kibana and good knowledge on Oozie, Hbase, Phonix. - Good understanding of distributed systems, HDFS architecture, internal working details of MapReduce, Yarn and Spark processing frameworks. - More than two year of hands on experience using Spark framework with Scala. - Expertise in Inbound and Outbound (importing/exporting) data form/to traditional RDBMS using ApacheSQOOP. - Extensively worked on HiveQL, join operations, writing custom UDF’s and having good experience in optimizing Hive Queries. - Experience in data processing like collecting, aggregating, moving from various sources using Apache Nifi and Kafka. - Worked with various formats of files like delimited text files , JSON files, XML Files - Having basic knowledge on Amazon Web Services.

Greetings Viewer, Services to be provided: Python (Scripting, Scarping, Flask and Fast, ETL, Streaming) Data Engineering - Informatica / Cloudera / Tableau / Power BI / Hadoop Full Stack - MERN & .Net Thanks