Giovani Vasconcellos Winter Pacheco

Experience

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  Força Aérea Brasileira - FAB

  Jan 2001 - Mar 2007

  Electronics Specialist Soldier

  Responsible for performing maintenance on electronic components in the weather radar.Specialist in Linux operating system, performing software maintenance

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  DBA

  Feb 2007 - Sept 2008

  Oracle Sql Server Database Administrator

  Design and implement databases to meet the organization's needs, considering scalability, security, and performance. Select appropriate technologies, such as Oracle, SQL Server, PostgreSQL, and DB2 Mainframe. Dimensional and relational Data modelingDefine and implement real-time integration processes (CDC) with Oracle, and SQL Server.Perform the installation, configuration, and maintenance of database servers. Manage and monitor database health to proactively identify and resolve issues.Conduct regular backups and restorations to ensure data integrity and recovery in case of failures. Optimize queries, indexes, and overall database performance by adjusting configuration parameters.Implement security policies to protect data from unauthorized access and cyberattacks. Monitor suspicious activities and ensure the protection of sensitive data.Provide support to development and analytics teams, assisting in query creation and efficient database design. Resolve database-related incidents and minimize impacts on production systems. Ensure data availability in critical, high-demand environments.Plan and execute database version upgrades, applying patches and security updates. Explore new technologies and trends, such as modern databases, and conduct migrations and upgrades of legacy systems.Maintain technical documentation for database configurations, backup policies, performance, and security. Train internal teams on best practices for database.Solid knowledge in Linux, Mainframe and the following programming languages: Shell script, SQL, PL/SQL, Python. Show less

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  Montreal Informatica

  Jan 2009 - Dec 2012

  Sr DBA & Data Integration

  Design and implement databases to meet the organization's needs, considering scalability, security, and performance. Select appropriate technologies, such as Oracle, SQL Server, PostgreSQL, and DB2 Mainframe. Dimensional and relational Data modelingEstablish pipelines to consolidate data from various sources (batch and streaming). Configure orchestration and automation tools, such as Informatica PowerCenter and PowerExchange.Define and implement real-time integration processes (CDC) with DB2, IDMS Mainframe, Oracle, and SQL Server.Responsible for the installation and maintenance of integration and data quality tools, including PowerCenter, Data Quality, and PowerExchange.Perform the installation, configuration, and maintenance of database servers. Manage and monitor database health to proactively identify and resolve issues.Conduct regular backups and restorations to ensure data integrity and recovery in case of failures. Optimize queries, indexes, and overall database performance by adjusting configuration parameters.Implement security policies to protect data from unauthorized access and cyberattacks. Monitor suspicious activities and ensure the protection of sensitive data.Provide support to development and analytics teams, assisting in query creation and efficient database design. Resolve database-related incidents and minimize impacts on production systems. Ensure data availability in critical, high-demand environments.Plan and execute database version upgrades, applying patches and security updates. Explore new technologies and trends, such as modern databases, and conduct migrations and upgrades of legacy systems.Maintain technical documentation for database configurations, backup policies, performance, and security. Train internal teams on best practices for database.Solid knowledge in Linux, Mainframe and the following programming languages: Shell script, SQL, PL/SQL, JCL, COBOL, Python and Informatica Platform . Show less

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  Natrio

  Dec 2012 - Sept 2015

  IT Manager

  Define and implement the technology strategy aligned with business objectives, identify trends and technological innovations that can add value to the company, manage budgets and technology investments, ensuring efficiency and cost-effectiveness.Ensure the stability, security, and availability of the company's systems and networks, maintain IT infrastructure, including servers, databases, networks, and devices, implement information security and data protection policies, ensuring compliance with regulations (LGPD, GDPR, ISO 27001, etc.), and conduct audits and security tests to mitigate cybersecurity risks.Lead and motivate the IT team, promoting professional development and talent retention, define roles, responsibilities, and goals for the infrastructure, support, and development teams.Ensure the efficiency of technical support to resolve issues for internal and external users, implement ITIL (IT Service Management) best practices to improve user experience, define SLA (Service Level Agreement) and performance metrics to ensure the quality of services provided.Implement automation, artificial intelligence, and data analytics solutions to improve internal processes, explore emerging technologies such as Cloud Computing, Big Data, Machine Learning, and IoT, promote a culture of innovation within the company, encouraging the adoption of new tools and methodologies.Responsible for modernizing the ERP system, adopting a CRM platform to enhance the sales flow and supply chain, and implementing a Business Analytics solution for the sales, tax, finance, and logistics teams. Show less

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  Informatica

  Sept 2015 - Feb 2017

  Sr Solution Architecture LATAM

  Design scalable and resilient architectures for data ingestion, processing, storage, and analysis across on-premise and cloud environments.Define strategies for Data Lake, Data Warehouse, and Lakehouse architectures, ensuring seamless integration with multiple data sources.Select and recommend appropriate technologies, including Hadoop, Spark, Kafka, Snowflake, Google BigQuery, AWS Redshift, and Teradata.Develop data integration strategies for real-time and batch processing using ETL/ELT tools, APIs, and messaging services.Implement efficient data pipelines with the Informatica product stack, ensuring interoperability between legacy systems and modern platforms.Establish data governance, quality, and compliance guidelines, ensuring adherence to LGPD, GDPR, and HIPAA. Implement security measures, encryption, and data anonymization to protect against unauthorized access.Define optimized data models for efficient storage and processing using formats such as Parquet, Avro, ORC, and JSON.Create and manage metadata and data catalogs, facilitating discovery and reuse. Define automation strategies for complex workflows with monitoring and alerting to ensure pipeline performance.Collaborate with business teams to identify opportunities for innovation and the development of data-driven solutions.Work closely with engineering, analytics, and DevOps teams, ensuring efficiency and scalability of solutions.Develop comprehensive technical documentation, reviewing and enhancing data and integration architectures.Possess solid programming skills in SQL, PL/SQL, Python, and Spark.Experience in data integration across mainframe, Linux, and Windows environments, implementing batch and real-time processes using Change Data Capture (CDC).Expertise in MPP processing, including Teradata, Hive, BigQuery, and Redshift, along with knowledge of NoSQL databases. Show less

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  Sulamerica seguros

  Feb 2017 - Apr 2018

  Senior Data Solutions Architecture

  Design the structure for data ingestion, processing, storage, and consumption. Define appropriate technologies such as Spark, Delta Lake, Google BigQuery, Teradata, Snowflake, SAS, and others.Establish pipelines to consolidate data from various sources (batch and streaming). Configure orchestration and automation tools, such as Informatica Cloud, IBM DataStage, and Python, ensuring data quality through validation and monitoring processes.Define and implement real-time integration processes (CDC), replicating data from mainframes and Oracle to cloud platforms.Responsible for designing and developing integration processes with CRM platforms (e.g., Salesforce), optimizing and implementing resources in near real-time.Implement governance, security, and compliance policies (e.g., LGPD, GDPR, HIPAA). Establish access controls, encryption, and data masking, and organize catalogs and metadata for traceability.Enable self-service analytics using tools like Tableau and Power BI. Integrate infrastructure with Machine Learning environments and support in-database processing and advanced analytics.Monitor and adjust performance, partitioning, and indexing. Plan capacity to efficiently meet future demands.Translate business requirements into technical solutions, create documentation, and support business, engineering, and analytics teams. Create and maintain technical documentation for architectures, pipelines, and data governance.Explore technological trends and validate new solutions through Proofs of Concept (POC). Ensure the data architecture is modern, secure, and aligned with the company’s goals. Show less

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  Informatica

  Apr 2018 - Dec 2020

  Sales Engineer Data & AI for LATAM

  Working with prospective customers to enable them to take advantage of their data and the insights that can be gained from having a clear data governance strategy for their journey to the cloud.Advocate the Informatica Intelligent Cloud Services and Big Data platform at various levels from business users to IT users. Building and delivering Proofs of Concept (PoCs) and responding to functional & technical elements of RFIs/RFPs independently and effectivelyPerforming product proof of concept to prospective new customers for demonstrate the capabilities of the product suite Informatica Cloud and Big data Solutions provides. Expertise with integration Hadoop ecosystem like Hive, Spark, Impala HBase, databricks development of Streaming process. Experience performing data integration between High Structure (Mainframe) for other platforms.Database experience driven by MPP processing (Teradata, Netezza, Hive, Bigquery, Redshift). Knowledge of NoSQL solutions, MongoDB, oracle, etc. Solid knowledge in cloud architecture, using SaaS, PaaS and IaaS services using AWS and Google.Work with existing and new customers to deeply understand their business and technical needs. Execute POC and MVP focused on Data Warehous, Datalake working with processing solutions .Solid knowledge in SQL, PL/SQL, Python, Spark, cobol and jcl programming. Assisting in partners and internal teams to enable them to become experts in the IICS platform. Experience working with SI Partners and familiarity of SI partner ecosystem and solution selling/plays is preferred. Solid knowledge of program languages, SQL, PL/SQL, Python, JCL, Cobol and platform informatics. Experience in data integration with mainframe, Linux and windows, implementing batch and real time processes through Change Data Capture (CDC). Show less

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  Microsoft

  Dec 2020 - Jun 2022

  Solution Sales Specialist - Data & AI

  Responsible for the development and execution of the sales strategy focused on Data and Artificial Intelligence, targeting the Enterprise segment across LATAM in FSI and Telecom.Focus on identifying, qualifying, and commit, opportunities. Preparation of quotes and ramp-up plans for cloud consumption and license subscriptions.Conducting forecast meetings with account executives and partners to monitor opportunity generation, qualification, and progress.Developing and tracking Account Plans, ensuring business growth and relationship sustainability with C-levels and managers. Preparing presentations for QBR, focusing on performance analysis and strategic alignment with stakeholders.Defining action plans to drive Data and AI adoption, promoting value generation and competitive advantage, with a focus on identifying, structuring, and replicating use cases.Identifying, qualifying, and developing opportunities throughout the sales cycle. Presenting solution designs, TCO (Total Cost of Ownership), and ROI (Return on Investment) analyses, ensuring feasibility.Coordinating marketing initiatives for Data & AI, fostering engagement with strategic partners and ISVs to develop joint go-to-market strategies.Focusing on marketplace consumption strategies through ISVs to accelerate cloud adoption and maximize commercial benefits from agreements.Managing opportunities with local partners and GSIs, optimizing processes and accelerating the sales cycle.Leading PoCs, MVPs, and customized demonstrations to address specific client needs.Impactful Results:• Exceeded annual CBI and RBI sales targets by +160% through data-driven solutions and strategic customer engagement.• Achieved a 70% increase in deal closure rates, providing technical support throughout the sales process. Show less

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  Google

  Jul 2022 - May 2023

  Cloud Consultant, Big Data and Analytics

  Guide clients in data ingestion, storage, processing, analysis, and visualization on the Google Cloud Platform, participating in migrations and data modernization projects.Engage with technical leaders, executives, and partners to manage and deliver successful cloud solution implementations, becoming a trusted advisor to key decision-makers throughout the engagement.Propose solution architectures and oversee the deployment of cloud-based databases, big data, and analytics solutions according to client requirements, implementing best practices.Participate in technical and design discussions with engineering teams to accelerate adoption and ensure best practices during implementation.Develop and enhance data, analytics, and AI solutions and accelerators, aligning them with corporate business needs using Google Cloud technologies.Educate and train customers, assisting them in assessing their current infrastructure, designing the desired architecture, developing migration plans, and conducting technical workshops to educate them on the Google Cloud Platform.Develop and implement data quality and governance procedures to ensure data accuracy and reliability in alignment with business objectives and compliance standards.Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines, ensuring successful client outcomes.Focus on executing and monitoring POCs and MVPs to implement GCP solutions effectively in collaboration with partners.Advocate for customer needs to overcome adoption blockers and drive new feature development based on Google Cloud capabilities and feedback. Show less

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  Teradata

  Apr 2023 - now

  Sr Manager, AI/ML Sales Specialist for LATAM

  Lead AI/ML initiatives, including PoCs and tailored demos to meet client needs. Conduct forecast meetings with specialists, account executives, and partners to track opportunity generation, qualification, and progress. Provide partner training on AI/ML sales topics, ensuring strategic alignment and deeper solution understanding.Develop and track Account Plans for Enterprise and Corporate accounts across LATAM, fostering business growth and relationship sustainability. Prepare QBR presentations, focusing on performance analysis and strategic alignment with stakeholders.Drive AI/ML sales strategy, targeting Enterprise, Corporate, and Small Business segments. Define action plans to accelerate AI/ML adoption, emphasizing use case identification, structuring, and replication among clients.Lead and motivate the IT team, promoting professional development and talent retention, define roles, responsibilities, and goals for the infrastructure, support, and development teams.Identify, qualify, and develop opportunities throughout the sales cycle. Present solution designs, TCO, and ROI analyses, ensuring feasibility while managing opportunities across the LATAM specialists’ team.Technical proficiency in Python, SQL, and PySpark, collaborating with cross-functional teams and mentoring sales specialists, technical consultants, and AI experts to support sales and technical execution.Coordinate marketing initiatives, fostering engagement with strategic partners and ISVs to develop joint go-to-market strategies.Impactful Results:Exceeded annual sales targets by 120% through data-driven solutions and strategic client engagement.Achieved a 60% increase in deal closure rates by providing technical support throughout the sales cycle.Expanded the customer base by 25% through strategic partnerships and AI/ML initiatives. Show less