Lay the groundwork for stronger outcomes,Embed big data analytics to take action

We are extremely thankful for the folks at these admired brands that engaged us

Hire The Elite Few™ big data engineers or architects for your team

IMA

Sr. Big Data Engineer

AOC

Sr. Big Data Engineer

TRA

Sr. Big Data Architect

KHS

Big Data Architect

IJA

Sr. Big Data Engineer

ANA

Principal Big Data Engineer

IMA

Sr. Big Data Engineer

15+ years of experience in IT delivery including Big Data, Data Analytics, and Data Models. Strong knowledge of AWS Cloud Services, expertise in migrating traditional warehouses to Big Data, and on-prem Big Data to the Cloud. Experienced in Agile and Scrum based methodologies.


  • A Dozen Top Skills

  • Hadoop
  • Sqoop
  • Kafka
  • PySpark
  • Hive
  • Cassandra
  • MongoDB
  • Python
  • AWS
  • Azure
  • C++
  • Agile


  • Three from the Portfolio

  • Global Enterprise Software Company
    Python, RedShift, Tableau
  • Cognizant Technology Solutions (Associate Director)
    AWS, Azure, PySpark
  • Cognizant Technology Solutions (Senior Manager)
    Python, SQL, Tableau


  • Wheelhouse Environment

  • Python, Tableau, AWS, PySpark, RedShift, Agile

  • Latest College Degree

  • Bachelor’s in Computer Science


  • Country of Residence

  • USA with ability to work remotely

 

 

AOC

Sr. Big Data Engineer

Over 10 years of experience leading data engineering projects, including data analytics and business intelligence. Expertise in Big Data and Hadoop stack.


  • A Dozen Top Skills

  • Hadoop
  • Hive
  • Pig
  • Flume
  • Sqoop
  • Java
  • SQL
  • Python
  • Oracle
  • Teradata
  • HBase
  • Perl


  • Three from the Portfolio

  • Teradata Corp (Database Specialist)
    SQL, ETL, MapReduce
  • Teradata Corp (Analytics Developer)
    SQL, Java, Apache
  • Global Consulting Organization
    Java, Python, Oracle


  • Wheelhouse Environment

  • SQL, Java, Apache, ETL, Hadoop, MapReduce

  • Latest College Degree

  • Bachelor’s in Engineering


  • Country of Residence

  • USA with ability to work remotely

 

 

TRA

Sr. Big Data Architect

Over 10 years of experience in Information Technology, including specialization in the Software Development Life Cycle (SDLC) involving systems and applications analysis, project design, development, testing, implementation, and support.


  • A Dozen Top Skills

  • Snowflake
  • Hadoop
  • Hive
  • Sqoop
  • Oozie
  • Cloudera
  • Spark
  • Tableau
  • Qlik
  • Puppet
  • Oracle
  • SQL


  • Three from the Portfolio

  • Global Software and Services Company
    Cloudera, SAS, R
  • Snowflake Computing
    Azure, SQL, S3
  • Global Database Software and Services Company
    SAP, Hive, Oozie


  • Wheelhouse Environment

  • Snowflake, Cloudera, Azure, SAS, Hive

  • Latest College Degree

  • Master’s in Computer Science


  • Country of Residence

  • USA with ability to work remotely

 

 

KHS

Big Data Architect

Over 20 years of experience in Information Technology, with 8 years senior experience leading Big Data teams. Expertise in Data Analytics, Business Intelligence, Data Visualization, and Data Warehousing. Managed 24/7 SLA environments.


  • A Dozen Top Skills

  • AWS
  • Python
  • S3
  • Hadoop
  • Hive
  • Flume
  • Kafka
  • Spark
  • SQL
  • Oracle
  • Tableau
  • R


  • Three from the Portfolio

  • Global Consumer Goods Company
    Hadoop, Hive, Ranger
  • Walmart
    SQL, Tableau, SAP
  • American Healthcare Technology Company
    Cloudera, Python, MongoDB


  • Wheelhouse Environment

  • Hadoop, Hive, Python, SQL, Tableau, AWS

  • Latest College Degree

  • Master’s in Information Architecture


  • Country of Residence

  • USA with ability to work remotely

 

 

IJA

Sr. Big Data Engineer

10 years of experience in Information Technology with specialization in SDLC, Big Data, Java, and Hadoop. Also experienced in Oracle and SQL using Sqoop.


  • A Dozen Top Skills

  • Hadoop
  • Oozie
  • Hive
  • Sqoop
  • Flume
  • Spark
  • SQL
  • Oracle
  • Crucible
  • Apache
  • JavaScript
  • Cobertura


  • Three from the Portfolio

  • Global Telecommunications Company
    Hive, Spark, HDFS
  • Global Financial Services Company
    Sqoop, SAP, Scala
  • EY
    Hadoop, Java, Ranger


  • Wheelhouse Environment

  • Python, Spark, Java, Sqoop, Hive, Hadoop

  • Latest College Degree

  • Bachelor’s in Information Technology


  • Country of Residence

  • USA with ability to work remotely

 

 

ANA

Principal Big Data Engineer

15+ years of experience in analysis, design, and development of Big Data solutions, SOA, Web Services, and Cloud Services. Also experienced with Data Privacy and Data Lakes, and Exploratory Analysis.


  • A Dozen Top Skills

  • HDP Stack
  • Hive
  • Pig
  • Flume
  • Kafka
  • Spark
  • Java
  • Scala
  • AWS
  • Agile
  • Hadoop
  • Scrum


  • Three from the Portfolio

  • Global Telecommunications Company
    Metadata, Governance, AI
  • Global Telecommunications Company
    Hive, Kafka, Scala
  • Global Telecommunications Company
    Python, Hadoop, AWS


  • Wheelhouse Environment

  • Hive, Kafka, Scala, Hadoop Stack. AWS


  • Country of Residence

  • USA with ability to work remotely

 

 

Tip: click on any rectangle to view a Principal Points Profile™, then use the arrows at the top of the profile to navigate to the others.

Hire additional knowledge workers in The Elite Few™

View select Principal Points Profiles™ from these digital transformation domains

Big data

The success of your big data project is only as good as the data it uses. But if you continue to have your data siloed, even if very large amounts, flaws will show up in the results, diminishing the impact of your artificial intelligence and machine learning efforts.

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We can help you further leverage your existing investments by integrating your on-premise data with the ever-increasing amount of unstructured content and third-party data to maximize and produce better business outcomes.

The objective is to not only identify issues or opportunities, but also and primarily, to be able to take action from the results of the deployed advanced analytics.

Big data engineers lay the big data analytics groundwork. Data scientists then use this groundwork to create algorithms for AI models.

Your current structured data can certainly be useful, so it should not be overlooked to modernizing your legacy EDW to fit current technological standards, getting a performance and security boost along with that endeavor. Data lakes will then nourish your data-driven efforts.  Then as a final step to process all of your data, both structured and unstructured, you’ll want to leverage big data technologies such as Hadoop, Spark TensorFlow, Keras and Kafka to process data streams in real time.

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