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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.
Huvudsaklig expertis
- Apache Hive 6 år

- Apache Kafka 5 år
- Apache Spark 7 år
Andra kompetenser
- Azure 3 år
- Apache Airflow 2 år

- Google Cloud 1 år
Utvald erfarenhet
Anställningar
Data Architect
Unity Bank Plc - 2 år 5 månader
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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.
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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.
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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.
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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.
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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.
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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.
Teknologier:
- Teknologier:
ElasticSearch
Python
Apache Kafka
Kubernetes
Oracle
AWS Lambda
AWS S3
Azure
Azure Blob storage
Azure Data Factory
Apache Hive
AWS Kinesis
AWS Athena
Apache Airflow
Azure Cloud
Snowflake
Apache NiFi
Apache HTTP Server
Apache ZooKeeper
AWS Glue
-
Head Database Administrator
Unity Bank Plc - 1 år 8 månader
- 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.
Teknologier:
- Teknologier:
MySQL
MongoDB
ElasticSearch
Cassandra
Databricks
Apache Spark
Apache Kafka
Oracle
Azure
Azure Blob storage
Azure Data Factory
Apache Hive
Apache Airflow
Azure Cloud
Apache NiFi
Hadoop
Apache ZooKeeper
Data Engineer/Analyst Remote
Farco Photo Ind Ltd - 2 år 8 månader
- 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.
Teknologier:
- Teknologier:
MySQL
MongoDB
PostgreSQL
AWS
ElasticSearch
MSSQL
T-SQL
Python
SQL
Oracle
AWS Lambda
AWS S3
Microsoft Power BI
AWS Kinesis
Tableau
- NoSQL
Biztalk
Senior Database Administrator
Zenith Bank Plc - 5 år 9 månader
- 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.
Teknologier:
- Teknologier:
MySQL
MongoDB
Cassandra
MSSQL
Oracle
AWS Lambda
Snowflake
Tableau
Utbildning
BSc.Information and communication engineering.
Covenant University · 2008 - 2014
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