As Head of Innovation, Daniel strategizes, formulates, and transforms general ideas into innovative solutions for Modak’s clients. Daniel leads the implementation of Modak products that accelerate the data-driven transformation initiatives for our clients. Daniel engages with internal and external stakeholders to enhance our products and incorporate feedback.

When Daniel was 9 years old he started to write code, with 16 years old he got engaged in the Open Source community and consequently learned a vast amount of technologies like Linux/Perl/Python/Shell Script/Scala/Java/PostgreSQL/C/C++/Distributed Computing and much more. Since this he did talks into distinct universities and contributed within code for several projects https://github.com/mantovani

Responsible to architect, design and implement state-of-the-art solutions for large enterprise organizations.* Architect/Design/Implement Data Pipelines* Lead Big Data Platform Team* Guide the full lifecycle of a Hadoop solution, including requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment.* Design/Develop distributed applications on Hadoop/Spark* Create Docker containers* Performance enhancement in existing Hadoop/Spark applications* Design the Probabilistic Matching Engine algorithm* Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools* Manage all aspects of the warehouses such as data sourcing, migration, quality, design, and implementation* Deliver high quality (DA) related outcomes including ETL processes, data warehouse designs and data system enhancements in accordance with existing standards and guidelines* Improve the effectiveness of the database tools and services* Optimize database systems for performance efficiency* Participate in database design and architecture to support application development projects* Evaluate existing database and recommend improvements for performance efficiency* Develop best practices for database design and development activities

Daniel worked in the first South America IBM Master Data Management Advanced Edition implementation which include the migration of +270 millions of customers and +1 billion of contracts to Master Data, which included:* Data profiling from several distinct data sources* Survivorship MDM (Micro design)* Fuzzy Matching advisor* Load Balancer HA and Distributed Algorithm design* SOAP Security advisor* IBM Quality Stage performance design* IBM MDM SOAP performance design* IBM MDM BatchProcessor initial load advisor* IBM WebSphere Application Server administration* IBM MDM Installation and configuration* Deployment software engineer* Development video tutorials to India team* DB2 performance query analyzer * AIX Tuning* IBM MDM Tuning* IBM WebSphere Application Server tuning

Worked in the biggest Data Warehouse project in South America into Ítau bank called DMT(Data Management Transformation). Tasks included:* SAS Migration Design for more than 3000 programs* Development of a compiler which transform QMF language into SAS language* SAS Migration tests design and implementation* Development of a compiler which transform QMF reports into Cognos BI reports* SOA service to hundreds of users transform his/her QMF report into Cognos BI report* Reverse engineer of Informatica PowerCenter ETL metadata* Reverse engineer of SAS programs* Migration from Oracle to DB2* Tool to reverse engineer thousands of Oracle query's/DDL's to adapt to DB2 * Analyze of GB's of logs to understand the customer behavior* Crawler of the costumer portal to automate the implementation of thousands of new routines* Maintenance in an Oracle SQL Loader Controle File compiler which transform the CTL into DataStage Job's* Performance and after migration data verification tool* Tool to get samples COBOL dataset's which included deep knowledge how COBOL store data

Responsible to architect and develop softwares to IBM.

He architected and developed a full enterprise social media SOA based software which include monitor/integration the majority of social media in the time like, Facebook, Orkut, Twitter, LinkedIn and others communication channels like Google News and Blogspot.This project required a high availability solution, data warehouse architecture to process thousand of gigabytes daily. Was used technologies like MongoDB, RabbitMQ, Gearman, Postgres, Redis and others.

In Jacotei he was responsible for the development of web crawlers, maintenance the legacy system. He also did research for new technologies which effort resulted in good results like reducing the crawlers indexing time.