Ezequiel Churches

Provide data architecture support to diff customers to get benefits more quickly from technology innovation. Build scalable and data-driven business with a modern, distributed data architecture. Accelerate time-to-market and empower the final user with timely, consistent, and trusted data.

Big Data architect and Data Analytics responsible for developing solutions for different kinds of industries. Pre-sales with for different clients to get new business and create solutions (big data full stack). The most important tasks include developing solutions for clients (architectural design) to define, sizing, select platform, compare solution, real-time, near real-time, batch, DB, query performance, a tool to visualize the results, good practice, security, data governance, replication (DR), encryption. Responsible for the architectural design on Azure, AWS, IBM, and GCP platforms and on-prem solutions. Speaker on IBM sessions like SME on big data for the different teams to help the people to understand Big Data and Advanced Analytics. GBS Worked like big data architect, to help the client (BANK) to migrate the old platform to Cloud Platform. Leandro provides support to define the strategy for the new data platform, new DW technology, self-service layer, and how to integrate the new features of the new platform to solve the new use cases. Expert Labs Currently, Leandro is Working to integrate MDM solutions on the client (BANK) and solving issues about architectural design. As part of the role, he needs to provide support to the client to get a better understanding about the platform.

Big Data architect and Data Analytics TL responsible for the team and the solutions. Pre sales with different kind of clients in order to get new business and create solutions. Working with AWS (Athena, Glue, Quicksight, Lambda, S3, Redshift), Azure (Data Factory, Blob Storage, Databricks, Data Lake Gen 2).

Leandro is working like tutor for Advanced Analytics Executive Program (similar MBA). The Main focus is to provide the first tools for the new students about what is data science and create analytical models for different problems. Like part of the program, we use Python, R, Weka, Rapidminer, TensorFlow, Yolo, trying to provide to the students with diff tools to find the best solution. The program includes data cleansing, overview on random forest, regression lineal, sentiment analysis, decision tree, chatbots, association rules, etc. We provide an overview about Big data and how to integrate the models into distributed systems and how the algorithm work into this kind of systems. Finally, the students present a I+D project with a use case and talking about how to develop and the technologies used.

Big Data architect and Data Analytics TL responsible for the team and the solutions. Pre sales with different kind of clients in order to get new business and create solutions. Working with IBM (Watson full stack), Oracle (OAA and OAC), SAS (Viya and Guide), Cloudera, Hortonworks.

Azzure Consultant, responsible to provide support for the new clients to migrate big solutions to Azzure Cloud and working with the Cloud Architect team for the best solution. Big Data architect support for new projects in order to improve the design and the performance of the solution. Like consultant Leandro provided support for IaaS, PaaS and SaaS solutions. Working on Data Factory solution in order to migrate data.

Team Leader, Big Data architect on charge to prepare big data projects. Pre sales with different kind of clients in order to get new business. Working with Cloudera, Hortonworks, MapR. Projects with MapReduce, Spark. Real time processing platform, Batch processes. He is working to prepare several POC to test Big Data Platform for several companies, AT&T, Sprint, Toyota (IoT project), Intuit, Verizon. Using techs: Hive, Hbase, Machine Learning, Flume, Sqoop, NoSql DB. Deploy environments. Create environments in Openstack, AWS, physical environments. Responsible to maintain and update the different clusters created on AWS and Openstack. Define the size for the different solutions and assign the resources necessary to develop the solutions.

Developing solutions using big data tools. MapReduce, Pig, Hive, Mahout, Flume, Sqoop, Hbase, HAWQ. PIVOTAL HD, GreenPlum DB. Team leader and part of the team on charge to create a Software Factory. Process, knowledge and solutions for real time and batch. Working on GemFire, analyzing and processing CDR files on real time. Rest services. Tomcat.

Big Data consultant, Install, admin and develop solutions with the next techs: HBase, Hive, Pig, Hadoop, HUE, Ambari, Oozie, Flume. Integrate Vertica and Tableau. Design and develop big data platform to process big data set. Migrate old system to Hadoop platform, processing the same data 60% faster. Suggest improvements, new techs. POC (sentiment tweets, check feeling of users). Machine Learning (tweets analyze), R, Mahout.

Technologies: JSF, JSP, CDI, JasperReport, Maven, Java, JBoss. Project: He is working in a project using JBoss applications server. In this case we must create reports using JasperReport and iReport. Developed solution for Mercedes Benz. Improvements, define tasks. Leandro was on charge a team.