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Henrique
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Henrique

Sorocaba, Sao Paulo, Brazil --:--:--

Henrique is a Data Engineer and BI Consultant with Web Analytics (MCSA BI, MCSE Analytics by Microsoft) skills. He has over 13 years of experience in Data Analysis, Data Modeling/ETL, Data Ingestions (Pipeline/Orchestration), Data Visuals, providing business insights, reports (Power BI/Qliksense/Qlikview/Tableau), research and process analysis with effective use of data analysis to promote a high level of efficiency in the processes and decision making. He has the ability to manage multiple projects simultaneously and to manage people, perform strategic planning to achieve strategic objectives, solve problems, and manage and execute critical analyzes of business processes with a high understanding of issues affecting the organization while recommending improvements in processes, measures to increase productivity and maximize. Henrique is pro-active, determined, logical thinking, has good interpersonal skills, is creative, and flexible.

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Skills
Years
1
2
3
4
5
6
7
8
9
10+
Redshift
Alteryx
ERP
R
DataBricks
Spark
EMR
Power Center
Apigee
SEO
Data Factory
Python
RDS
SAP BO
Hadoop
Google Adwords
Synapse
Qlikview
Lake Formation
Cassandra
Pig
SQL
DataFlow
Prometheus
Glue
NoSQL
HDInsight
PowerBI
MongoDB
GCP
SQL Server
CRM Analytics
PostgreSQL
AWS
S3
Oracle
Azure
Scala
BigQuery
Kinesis
Advanced Excel
Serverless
Data Lakes
EKS
Cloud Storage
EC2
PowerApps
Lambda
IoT Hubs
Machine Learning
Developer Personality

Independent

Collaborative

Trailblazer

Conservative

Generalist

Specialist

Planner

Doer

Idealist

Pragmatist

Abstraction

Control

100
50
0
50
100
Feature Experience

Network Configuration - ETL

Dashboards

Data Analysis / Modeling

Streaming / Batch Data Ingestion

MODERATE
EXTENSIVE
EXPERT
Cultural Experience

Marketing / Advertising

Financial

Retail

Renewables & Environment

MODERATE
EXTENSIVE
EXPERT
Portfolio

Vigil

Analytics Specialist Consultant

Categories

Work Experience : 2021-Current

Analytics Specialist Consultant functioning as an integral member of Vigil’s dynamic Data and AI practice, responsible for the high-quality delivery of solutions and products.

  • Responsible for delivering first-class consultancy services to our customers.
  • Directly involved in the development and deployment of innovative, enterprise solutions.
  • Takes a lead in client delivery and Vigil’s internal practice and service delivery models. Interfaces effectively with clients, team members, and business lines to achieve success.
  • Development of Data Lakes, Data Warehouses, Spark Scripts, ingestion end-to-end from external/ internal sources using batch/streaming techniques.

Technologies used

  • Azure: Data Factory, DataBricks, Synapse Analytics, SQL DW, Stream Analytics, Analytics Services, Data Lake
    Store, Event Hubs, IoT Hubs, Azure Functions, Azure Batch, Power APP, HD Insights, AKS, Analysis Services, Bicep Scripts.
  • Google Cloud Platform: Dataflow, Data Fusion, Cloud Storage, Cloud SQL, IA Notebook, VPN (HA, classic, serverless) VPC, VPC Peering, BigQuery, Bigtable, Auto ML, GKE, Pub/Sub, Dataproc, Composer, Apigee, SQL, Cloud Run, Cloud Functions, Spanner, Datastore, Database Migration, Datastream, Data Catalog, Dataprep, Dataflow.
  • AWS: RDS, Glue, Redshift, S3, EMR, Athena, Databricks, EKS, EC2, Kinesis, Lambda, Lake Formation, Amazon MSK, Amazon FinSpace.
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GAVB

Data Engineering Technical Lead

Categories

Work Experience : 2020 - 2021

Data Engineer Specialist Leader in Google Cloud Platform, AWS, and Azure.

  • Working as Data Engineer Consultant Specialist Leader helping GAVB’s customers with their goals by helping them to orchestrate and ingest data from multiple sources, on-prem, cloud, and external (Batch/Streaming), along with constructing the Data Architecture.
  • Helping GAVB to migrate their analytics structures to the public clouds (GCP, Azure, AWS).
  • Working closely with the stakeholders to understand how to ingest data into analytics structures.
  • Creating analytics infrastructure to connect data from on-prem to public clouds (GCP, Azure, AWS)
  • Supporting the Data Science team in preparing all environments to develop IA and ML algorithms in GCP, AWS, and Azure.
  • Managing people/projects as Data Engineer Specialist Leader to help the GAVB’s analytics team achieve the goals of the customers including business requirements, the technical setup of the environment, ingestion/orchestration, and analytics algorithms through Dataviz.

Tools:

  • MS Azure Analytics Suite: Data Factory, DataBricks, Synapse, SQL DW, Stream Analytics, Analytics Services, Data Lake Store, Event Hubs, HD Insight, GKE.
  • GCP: Dataflow, Data Fusion, Cloud Storage, Cloud SQL, IA Notebook, VPN (HA, classic, serverless), VPC, VPC Peering, BigQuery, BigQuery ML, Auto ML, GKE, Pub/Sub, Dataproc, Composer.
  • AWS: RDS, Glue, Redshift, S3, EMR, and Athena.

 

The customers include: Leroy Merlin, Seara, Petrobras, Aços Cearenses, Edenred, Ticket Log, and Smartfit.

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Tegra

Analytics Specialist Leader

Work Experience : 2019-2020

Analytics Specialist Leader focused on Data Architecture and Web Analytics.

  • Responsible to implement the Data Analytics of a business unit which included the areas of Business Intelligence, Web Analytics, and Data Science. Henrique led the strategic plan to achieve the goals of the company and created technical and business processes for Business Intelligence, Web Analytics, and Data Science.
  • Responsible to manage projects and people resources worldwide as an Adobe Partner. Implementing Adobe’s suite (Adobe Audience Manager, Adobe Analytics, Target, and Launch).
  • Responsible for all Data Architecture projects for Tegra’s customers.
  • Worked in tools such as:
    MS Azure Analytics Suite: Data Factory, DataBricks, Synapse, SQL DW, Stream Analytics, Analytics Services, Data Lake Store, Event Hubs, HDInsight, and GKE.
    GCP: Dataflow, Data Fusion, Cloud Storage, Cloud SQL, IA Notebook, VPN (HA, classic , serverless)VPC, VPC Peering, BigQuery, BigQuery ML, Auto ML, GKE, Pub/Sub, Dataproc, Composer.
    AWS: RDS, Glue, RedShift, S3, EMR, Anthena.
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Anchor Loans

Senior Data Engineer

Work Experience : 2017-2019

Senior Data Engineer responsible for data architecture, orchestration, and ingestion of pipelines.

  • Helped the Analytics Anchor Loans team to get data from external and internal sources.
  • All of the pipelines were in AWS Glue (Python and Spark). Retrieved and loaded data from multiples sources, both internal and external, then recorded into S3 Buckets.
  • Responsible to create ETL process (Python and Spark) to send the data to AWS Redshift (S3 to Redshift).
  • Worked closely with the business team to create dashboards in Power BI to help Anchor Loans utilize data to make decisions.

Tools:

  • AWS: RDS, Glue, RedShift, S3, EMR, Athena, Databricks, EKS, EC2, Kinesis, Lambda, Lake Formation, Amazon MSK, Amazon FinSpace
More

Convergence

Analytics Specialist

Categories

Work Experience : 2015-2017

Technical head of the Power BI business unit of Business Intelligence and Business Analytics projects.

  • Delivered BI & AI solutions to clients such as Yahama, CRM Group, Unimed’s, LeForte Group, SãoBernardo do Campo Municipal Hospital Complex (CHMSBC), CCR Group, Eucatex, Gamma Group, Puratos, HMCG, etc.

Tools:

  • MS Azure Analytics Suite: Data Factory, DataBricks, Synapse, SQL DW, Stream Analytics, Analytics Services, Data Lake Store, Event Hubs, HD Insights, GKE.
    GCP: Dataflow, Data Fusion, Cloud Storage, Cloud SQL, IA Notebook, VPN (HA, classic, serverless)VPC, VPC Peering, BigQuery, BigQuery ML, Auto ML, GKE, Pub/Sub, Dataproc, Composer.
    AWS: RDS, Glue, RedShift, S3, EMR, Anthena. Other Tools: Pentaho, Power Center Informática, Erwin.
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Holos Media

Senior Data Scientist

Categories

Work Experience : 2015

Senior Data Scientist focused on Business Intelligence, Web Analytics, and Data Science.

  • Worked with clients such as Cielo, Mistral, Vinci, Bayer Brasil, Kimberly Clark, Johnson & Johnson, Listerine, C & C, and Natura.
  • Provided insights to the business through data analysis/science (ERP, WEB, APP, CRM, etc.) via the Data Story Telling technique.
  • Responsible for creating and coordinating the machine learning algorithms in R for classification, clustering, prediction, and association.
  • Responsible for processing, reading, and streaming Big Data, using tools like Hadoop, HDInsight, Hive, Pig, and Spark.
  • BI Assessment for the Bayer Brasil BI team and for the implementation of a Business Intelligence project in the Agro Bayer business unit.

Tools:

  • MS Azure Analytics Suite: Data Factory, DataBricks, Synapse Analytics, SQL DW, Stream Analytics, Analytics Services, Data Lake Store, Event Hubs, IoT Hubs, Azure Functions, Power APP, HD Insights, AKS, Analysis Services.
  • GCP: Dataflow, Data Fusion, Cloud Storage, Cloud SQL, IA Notebook, VPN (HA, classic , serverless) VPC, VPC Peering, BigQuery, Bigtable, Auto ML, GKE, Pub/Sub, Dataproc, Composer, Apigee, SQL, Cloud Run, Cloud Functions, Spanner, Datastore, Database Migration,  Datastream, Data Catalog, Dataprep.
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Schmersal - Brasil

Senior Business Intelligence Analyst

Categories

Work Experience : 2013-2015

Senior Business Intelligence Analyst focused on strategy, coordination, and implementation of the Business Intelligence & Analytics, along with the Customer Resource Manager Analytics systems in Brazil and Latin America.

  • Monitored revenue performance, assessed opportunities, and provided insights into the commercial area in relation to objectives and the market.
  • Developed and coordinated the machine learning algorithms in R for classification, clustering, prediction, and association.
  • Responsible for data mining and streaming analytics for market information.
  • Analysis of ROIs (Events of Relationship, Customer Prospecting, Fairs, and Digital Campaigns) and coordination in the development of Dashboards to measure returns.
  • Responsible for the Schmersal Brasil and América Latina website (Strategies, Monitoring, and Measurement).
  • Responsible for all digital areas in Schmersal Brasil and Latin America (Coordination, Strategies, and Measurement). Focused on campaigns for lead generation, business opportunities, digital presence, and branding
  • Campaigns that were used: Google Adwords, SEO, and landing pages. Also, \responsible for the ROI analysis of all campaigns.
  • Responsible for social media (Strategies, Monitoring, and Measurement).
More

TECSIS

Senior Business Intelligence Analyst

Categories

Work Experience : 2007-2013

Senior Business Intelligence Analyst for TECSIS – Tecnologia e Sistemas Avançados S/A

  • Responsible for creating and coordinating environments that handle and gather information from Business Intelligence, CRM Analytics, and Web Analytics.
  • Responsible for the creation and coordination of dashboards in Qlikview.
  • Utilized key user performance evaluation tool (search and performance evaluation – TOTVS – Protheus) to provide support to users, elaboration of management reports, and presentations.
  • Supported the development of BI projects for corporate HR.
  • Developed reports for the area, such as headcount and control spaces.
  • Maintained BSC area.

Tools:

  • MS Azure Analytics Suite: Data Factory, DataBricks, Synapse Analytics, SQL DW, Stream Analytics, Analytics Services, Data Lake Store, Event Hubs, IoT Hubs, Azure Functions, Power APP, HD Insights, AKS, Analysis Services.
  • GCP: Dataflow, Data Fusion, Cloud Storage, Cloud SQL, IA Notebook, VPN (HA, classic, serverless) VPC, VPC Peering, BigQuery, Bigtable, Auto ML, GKE, Pub/Sub, Dataproc, Composer, Apigee, SQL, Cloud Run, Cloud Functions, Spanner, Datastore, Database Migration, Datastream, Data Catalog, Dataprep.
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