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.

Principale expertise

  • Apache Hive
    Apache Hive 6 ans
  • Apache Kafka
    Apache Kafka 5 ans
  • Apache Spark
    Apache Spark 7 ans

Autres compétences

  • Azure
    Azure 3 ans
  • Apache Airflow
    Apache Airflow 2 ans
  • Google Cloud
    Google Cloud 1 ans
Arinze

Arinze E.

Nigeria

Commencer

Expérience sélectionnée

Emploi

  • Data Architect

    Unity Bank Plc - 2 années 5 mois

    • Collaborate with stakeholders to gather and analyze data management needs across database platforms like MySQL, Amazon S3, Microsoft SQL Server, Amazon RDS, Oracle, Amazon Redshift and Azure delta lake identifying areas for improvement and recommending solutions for enhanced scalability, performance, and security.

    • Develop scalable and secure database systems on cloud platforms like Amazon RDS, Amazon Redshift, Amazon Document DB, Amazon EMR, Azure Database, Amazon DynamoDB, Amazon Aurora tailoring solutions to organizational requirements and employing optimal architecture, indexing techniques, and cloud-native services.

    • Implement robust security protocols such as encryption AWS KMS, Azure Key Vault and access controls such IAM role on cloud platforms to protect sensitive data from unauthorized access while ensuring accuracy and consistency through validation rules.

    • Architecting and optimizing ETL pipelines using services like AWS Glue, Azure Data Factory, Apache Spark, pyspark on Databricks, Amazon EMR and Amazon MSK ensuring efficient reliable data ingestion, transformation, and synchronization across distributed systems leveraging parallel processing, workflow orchestration, and scalable data pipelines to integrate heterogeneous data sources, maintaining data integrity and minimizing latency in real-time or batch processing environments.

    • Work closely with software developers, data engineers, data analysts, and other stakeholders to align database architecture with business objectives, leveraging cloud-based tools such as Amazon RDS, Azure Database Migration Service, and AWS Schema Conversion Tool etc.

    • Create and implement strategies for backup, recovery, and maintenance of on-prem and cloud-hosted database using solutions like AWS Backup, Azure Backup, RDS Automated Backups, aws tape gateway and Oracle RMAN, ensuring data availability and disaster recovery preparedness.

    Les technologies:

    • Les technologies:
    • ElasticSearch ElasticSearch
    • Python Python
    • Apache Kafka Apache Kafka
    • Kubernetes Kubernetes
    • Oracle Oracle
    • AWS Lambda AWS Lambda
    • AWS S3 AWS S3
    • Azure Azure
    • Azure Blob storage Azure Blob storage
    • Azure Data Factory Azure Data Factory
    • Apache Hive Apache Hive
    • AWS Kinesis AWS Kinesis
    • AWS Athena AWS Athena
    • Apache Airflow Apache Airflow
    • Azure Cloud Azure Cloud
    • Snowflake Snowflake
    • Apache NiFi Apache NiFi
    • Apache HTTP Server Apache HTTP Server
    • Apache ZooKeeper Apache ZooKeeper
    • AWS Glue AWS Glue

  • Head Database Administrator

    Unity Bank Plc - 1 an 8 mois

    • 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.

    Les technologies:

    • Les technologies:
    • MySQL MySQL
    • MongoDB MongoDB
    • ElasticSearch ElasticSearch
    • Cassandra Cassandra
    • Databricks Databricks
    • Apache Spark Apache Spark
    • Apache Kafka Apache Kafka
    • Oracle Oracle
    • Azure Azure
    • Azure Blob storage Azure Blob storage
    • Azure Data Factory Azure Data Factory
    • Apache Hive Apache Hive
    • Apache Airflow Apache Airflow
    • Azure Cloud Azure Cloud
    • Apache NiFi Apache NiFi
    • Hadoop Hadoop
    • Apache ZooKeeper Apache ZooKeeper

  • Data Engineer/Analyst Remote

    Farco Photo Ind Ltd - 2 années 8 mois

    • 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.

    Les technologies:

    • Les technologies:
    • MySQL MySQL
    • MongoDB MongoDB
    • PostgreSQL PostgreSQL
    • AWS AWS
    • ElasticSearch ElasticSearch
    • MSSQL MSSQL
    • T-SQL T-SQL
    • Python Python
    • SQL SQL
    • Oracle Oracle
    • AWS Lambda AWS Lambda
    • AWS S3 AWS S3
    • Microsoft Power BI Microsoft Power BI
    • AWS Kinesis AWS Kinesis
    • Tableau Tableau
    • NoSQL
    • Biztalk Biztalk

  • Senior Database Administrator

    Zenith Bank Plc - 5 années 9 mois

    • 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.

    Les technologies:

    • Les technologies:
    • MySQL MySQL
    • MongoDB MongoDB
    • Cassandra Cassandra
    • MSSQL MSSQL
    • Oracle Oracle
    • AWS Lambda AWS Lambda
    • Snowflake Snowflake
    • Tableau Tableau

Éducation

  • License ès sciencesInformation and communication engineering.

    Covenant University · 2008 - 2014

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