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Arinze E.

Data Engineer

Arinze is a seasoned Data Engineer with over eight years of diverse experience across the Banking and Finance, Telecommunications, and Manufacturing sectors.

His notable achievements include designing a robust data pipeline utilizing Spark on Python. This pipeline facilitated in-depth analysis of customer loan history data sourced from an Oracle database, directly contributing to a remarkable 20% profit surge for the organization.

Arinze's dedication and exemplary work ethic have earned him recognition as the most committed and hardworking employee within the Database unit at Zenith Bank. With a proven track record of delivering impactful solutions, Arinze is poised to drive innovation and business success in his field.

Main expertise
  • Apache Hive
    Apache Hive 6 years
  • Apache Kafka
    Apache Kafka 5 years
  • Apache Spark
    Apache Spark 6 years
Other skills
  • Azure
    Azure 3 years
  • Apache Airflow
    Apache Airflow 2 years
  • Google Cloud
    Google Cloud 1 years
Arinze E.


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Selected experience


  • Head Database Administrator

    Unity Bank Plc - 2 years 8 months

    • Define and maintain the architectural frameworks/patterns, processes, standards, and guidelines related to systems, business, and data architecture.
    • Developed and established high-level data flow diagram, data standards, and naming conventions and evaluated the consistency and integrity of the model and repository.
    • Created data mapping documents to move data from various sources into Microsoft Azure.
    • Creating new enterprise data designs for transactional (OLTP) systems and data warehouses.
    • Developed and implemented migration and upgrade procedures for databases.


    • Technologies:
    • Apache Kafka Apache Kafka
    • Python Python
    • Oracle Oracle
    • PostgreSQL PostgreSQL
    • AWS AWS
    • Cassandra Cassandra
    • Google Cloud Google Cloud
    • Azure Azure
  • Data Engineer/Analyst Remote

    Farco Photo Ind Ltd - 2 years 8 months

    • Constructed product-usage SDK data using PYSPARK, Scala, Spark SQL, and Hive context in partitioned Hive external tables maintained in AWS S3 location for reporting, data science dashboarding, and ad-hoc analyses.
    • Used Spark and Scala to develop machine learning algorithms that analyze click stream data.
    • Developed pipelines to pull data from Redshift and send it to downstream systems through S3 and performing Sftp.
    • Responsible for support data transfer, import-export, reports, user queries, and problems.
    • Gathered and analyzed the data requirements and designed a database solution for an engagement that replaced several legacy mainframe systems.
    • Acquire data from transactional source systems to the data warehouse (typically using Python, Spark, Amazon EMR, or Amazon Kinesis).
    • Experience designing DAGs using Apache AirFlow/Luigi/AWS Data Pipeline.
    • Used Apache Airflow to orchestrate the data pipeline.


    • Technologies:
    • Apache Spark Apache Spark
    • Python Python
    • Oracle Oracle
    • PostgreSQL PostgreSQL
    • Azure Azure
    • Apache Airflow Apache Airflow
  • Senior Database Administrator

    Zenith Bank Plc - 5 years 9 months

    • Performing Full, Log, Differential, and Tail of the log backup on Full and Bulk-logged Recovery Models.
    • Installation and Configuration of Microsoft SQL server Always On High Availability 2012, 2014, 2016, and 2019.
    • Installing and configuration of Oracle Database 11g,12c, and 19c.
    • Installation and configuration of Postgres 10 and 11 on Linux Red Hat.
    • Deploying new instances of SQL Server to Windows Clusters, Virtual Machines on Premise and Azure, and new SQL Azure instances.
    • Build, configure, and maintain replication on MySQL Server, HBase, and MongoDB servers.


    • Technologies:
    • Oracle Oracle
    • PostgreSQL PostgreSQL
    • Cassandra Cassandra
    • Azure Azure
    • Microsoft Power BI Microsoft Power BI
    • Tableau Tableau


  • BSc.Information and communication engineering.

    Covenant University · 2008 - 2014

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