Daniel Fernandes Email & Phone Number | With vast experience in configuring and managing Hadoop Big Data environments, as well as expertise in Extract, Transform, and Load (ETL) processes using Kafka Streaming, I have a solid track record of creating workflows that seamlessly integrate information from various sources. My work encompasses everything from data modeling to the analysis of substantial volumes of information. I highlight my proficiency in data manipulation using Python and Ksql within the Spark framework. My skill set spans an array of technologies, including Python, Hadoop, Kafka, Hive, Impala, Cloudera, SQL Server, Spark, ETL, NiFi, and Hue. Furthermore, I've successfully executed ETL projects within Banco do Brasil Seguros' product systems, utilizing the AWS service platform to efficiently load, transform, and update SQL Server data. To achieve this, I employed the DMS tool to generate CSV and Parquet files, reflecting incremental SQL changes or historical tests (full). I also undertook the responsibility of coordinating Step Functions to load datalakes and ran Crawlers to generate Redshift tables. My expertise extends to data manipulation in Python and Scala, leveraging the Spark framework. This includes seamlessly inserting data results into Redis, aligned with JSON and SQL layout files, which are then accessed by Analytics systems. My familiarity with the Linux Ubuntu operating system further bolsters my technological versatility. In terms of technologies, I possess proficiency in Linux, Python, Scala, SQL Server, Redshift, and a wide array of AWS services, including DMS, Step Functions, Crawlers, EC2, S3, Glue, IAM, and VPC. My aptitude also extends to advanced analytics for decision-making reporting and deriving business insights, all underpinned by a Data-Driven approach. Additionally, I am experienced in creating reports using Power BI with DAX and adept at handling data from diverse sources such as MySQL, SQL Server, and MongoDB. My familiarity with agile methodologies, such as Scrum, coupled with my proficiency in project management tools like Asana and Trello, complements my technical skills. I am enthusiastic about contributing to dynamic teams, embracing complex challenges, and harnessing my diverse skill set to drive the success of innovative projects and initiatives.

Daniel Fernandes

With vast experience in configuring and managing Hadoop Big Data environments, as well as expertise...
Belo Horizonte, Minas Gerais, Brazil

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Daniel Fernandes’s Email daniel.fernandes@prodemge.gov.br

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Daniel Fernandes’s Location Belo Horizonte, Minas Gerais, Brazil

Daniel Fernandes’s Current Industry

Daniel Fernandes’s Prior Industry Nova Tendencia Informatica | Mundiale | Cast | Nucleo De Hematologia E Oncologia | Sonda Procwork

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Work Experience

Prodemge

Data Analyst

Present

Nova Tendencia Informatica

Etl Analyst

2021-03-01 00:00:00 - 2022-04-01 00:00:00

Mundiale

Senior Planning Analyst

2020-08-01 00:00:00 - 2021-02-01 00:00:00

Cast

Programador De Banco De Dados

2019-10-01 00:00:00 - 2020-08-01 00:00:00

Nucleo De Hematologia E Oncologia

Technical Support Analyst

2016-12-01 00:00:00 - 2019-10-01 00:00:00

Sonda Procwork

Analista De Suporte

2015-01-01 00:00:00 - 2016-10-01 00:00:00

Skills

No Skills Available

Languages

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FAQ About Daniel Fernandes

Daniel Fernandes is located at
Belo Horizonte, Minas Gerais, Brazil

Daniel Fernandes is a With vast experience in configuring and managing Hadoop Big Data environments, as well as expertise in Extract, Transform, and Load (ETL) processes using Kafka Streaming, I have a solid track record of creating workflows that seamlessly integrate information from various sources. My work encompasses everything from data modeling to the analysis of substantial volumes of information. I highlight my proficiency in data manipulation using Python and Ksql within the Spark framework. My skill set spans an array of technologies, including Python, Hadoop, Kafka, Hive, Impala, Cloudera, SQL Server, Spark, ETL, NiFi, and Hue. Furthermore, I've successfully executed ETL projects within Banco do Brasil Seguros' product systems, utilizing the AWS service platform to efficiently load, transform, and update SQL Server data. To achieve this, I employed the DMS tool to generate CSV and Parquet files, reflecting incremental SQL changes or historical tests (full). I also undertook the responsibility of coordinating Step Functions to load datalakes and ran Crawlers to generate Redshift tables. My expertise extends to data manipulation in Python and Scala, leveraging the Spark framework. This includes seamlessly inserting data results into Redis, aligned with JSON and SQL layout files, which are then accessed by Analytics systems. My familiarity with the Linux Ubuntu operating system further bolsters my technological versatility. In terms of technologies, I possess proficiency in Linux, Python, Scala, SQL Server, Redshift, and a wide array of AWS services, including DMS, Step Functions, Crawlers, EC2, S3, Glue, IAM, and VPC. My aptitude also extends to advanced analytics for decision-making reporting and deriving business insights, all underpinned by a Data-Driven approach. Additionally, I am experienced in creating reports using Power BI with DAX and adept at handling data from diverse sources such as MySQL, SQL Server, and MongoDB. My familiarity with agile methodologies, such as Scrum, coupled with my proficiency in project management tools like Asana and Trello, complements my technical skills. I am enthusiastic about contributing to dynamic teams, embracing complex challenges, and harnessing my diverse skill set to drive the success of innovative projects and initiatives.

Daniel Fernandes currently works in the

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Daniel Fernandes has prior
experience in the following industries:
Nova Tendencia Informatica | Mundiale | Cast | Nucleo De Hematologia E Oncologia | Sonda Procwork

Daniel Fernandes has the following professional experience:
Prodemge | Nova Tendencia Informatica | Mundiale | Cast | Nucleo De Hematologia E Oncologia | Sonda Procwork