Summary
Overview
Work History
Education
Skills
Certification
Accomplishments
Timeline
Generic

Ikenna Okolo

Data Engineer

Summary

Experienced Big Data Engineer with over 10+ years of experience in IT industry. Excellent reputation for resolving problems and improving customer satisfaction.


Background includes data engineering, Batch and Streaming processing. Proficient in machine learning and Cloud Technologies and Hadoop Ecosystem. Quality-driven and hardworking with excellent communication and project management skills.


Dedicated IT professional with history of meeting company goals utilizing consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.

Overview

2025
2025
years of professional experience
22
22
Certifications

Work History

Senior Solutions Engineer (Big Data)

Google
2 2023 - Current
  • I wrote data processing pipelines using Apache Beam's SDKs in languages like Python and Java. These pipelines typically handle data extraction, transformation, and loading (ETL) processes.
  • I integrated data from various sources (e.g., databases, APIs, files) and ensured that data is processed in real-time or near-real-time (streaming) or in batches using GCP Dataflow
  • I implemented data validation, cleansing, and deduplication techniques to ensure the quality and integrity of the data.
  • Monitored the performance of data pipelines, troubleshooting issues (e.g., data loss, slow processing), and implementing fixes to ensure the system is reliable.
  • Lead the Dataflow and PubSub pods

Solutions Engineer (Big Data)

Google
09.2021 - 01.2023
  • Designed ETL jobs for ingesting large volumes of data, applying complex transformations using Apache Beam SDKs, and storing the processed data in BigQuery
  • Integrated with various data sources and sinks such as databases, file systems, or cloud storage (e.g., Google Cloud Storage, AWS S3, BigQuery, etc.).
  • Ensured pipelines were optimized for performance and cost-efficiency
  • Implemented robust error handling and retry mechanisms for pipeline failures.
  • Ensured comprehensive logging for pipelines and debug issues when they arise.

Lead Data Engineer

Tradedepot
03.2021 - 09.2021
  • Developed, implemented, supported and maintained data analytics protocols, standards and documentation.
  • I integrated into over 10 data sources that stored the transaction data.
  • Managed a team of 8 Data Engineers
  • Completed the extraction of the data to the Redshift data warehouse.
  • Designed and created ETL code installations, aiding in transitions from one data warehouse to another.
  • Designed integration tools to combine data from multiple, varied data sources such as RDBMS, SQL and big data installations.
  • Managed data quality issues during ETL processes, directing qualitative failures to team lead for amelioration.

Lead Data Engineer

Betking
07.2020 - 02.2021
  • Provided comprehensive analysis and recommend solutions to address complex business problems and issues using data from internal and external sources and applied advanced analytical methods to assess factors impacting growth and profitability across product and service offerings.
  • Managed a team of 7 Data Engineers across Africa and Europe
  • Worked with the global Betking team to integrate data from various countries that we trade in.
  • Led projects and analyzed data to identify opportunities for improvement.
  • Explained data results clearly and discussed how it can be utilized to support project objectives.
  • Improved data collection methods by designing surveys, polls and other instruments.

Data Engineer

Betking
08.2019 - 05.2020
  • I successfully set up the organizations Data warehouse by building Robust and Intelligent ETL Pipelines on Azure stack
  • Integrated into over 10 data sources both structured and unstructured data sources
  • Designed over 50 Datamarts that met business goals.
  • Collaborated with BI Team to produce customized ETL solutions for specific goals.
  • Collaborated with business analysts to understand and define requirements.
  • Validated warehouse data structure and accuracy.
  • Cooperated fully with product owners and enterprise architects to understand requirements.

Data Engineer

Sterling Bank
07.2018 - 08.2019
  • Performed large-scale data conversions, transferring lots of data into standardized structured and Unstructured formats for integration into Data-warehouse and also Data lake.
  • Collaborated with team on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • Interpreted data models for conversion into ETL diagrams and code.
  • Managed data quality issues during ETL processes, directing qualitative failures to team lead for amelioration.
  • Prepared functional and technical documentation data for warehouses.
  • Carried out day-day-day duties accurately and efficiently.

BI Developer

Sterling Bank
01.2018 - 07.2018
  • Wrote and optimized SQL statements to assist business intelligence practices.
  • Assessed platform statistics to create customized, data-intensive BI analytics.
  • Developed intelligence-sharing dashboards, providing company-wide access to collected data.
  • Handled massive quantities of business intelligence data, personally managing as much as 5 terabytes.
  • Collected data from wide-ranging sources.
  • Developed and managed dashboards using Azure stack.

Application Support Engineer

Sterling Bank
02.2017 - 12.2017
  • Provided support for Sterling bank's Internet banking services and also all Mobile banking platforms.
  • Ensured Servers and all necessary resources that applications run on were properly maintained and updated.
  • Recommended changes and areas of Improvement to the business for better customer satisfaction
  • In general, I Increased Customer onboarding rate on our E-platforms by over 100% based on improved reliability E-channels platform provided.

Data Analyst

Crisp TV
09.2014 - 01.2017
  • Integrated BI assets into customer relationship management tasks, improving service personnel's available intelligence.
  • Developed intelligence-sharing dashboards, providing company-wide access to collected data.
  • Designed customized data collection models for specific visualization tasks.
  • Created data analysis tools to allow teams to query acquired information for unique details.

Data Analyst Intern

Crisp TV
02.2014 - 08.2014
  • Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
  • Cleaned up and backed up data to maintain data integrity during extraction, manipulation and processing.
  • Completed filing, data entry and copying for data analyst team.
  • Integrated BI assets into customer relationship management tasks, improving service personnel's available intelligence.

Education

Electronics And Computer Engineering -

BEng
10.2009 - 10.2014

Master of Science - Applied MSc in Data Engineering For AI.

DataScience Tech Institute
Paris
05.2001 -

Skills

    NoSQL Databases: Mongo DB, Cassandra DB, Hive, Redis, BigTable

    Programming Language: Python, Java, Scala, SQL

    Big Data Technologies: Hadoop, Spark, Apache Beam, Apache Airflow

    Devops Engineering: Devops, CI/CD, Terraform, Kubernetes, Microservices

    Storage and Pipelines: ETL, Data-Warehousing, Batch Processing, SSIS, Data-Fussion, Kinessis , DataFlow, ADF

    SQL DB: MS SQL, Oracle, My SQL, PostgreSQL, Redshift, BigQuery, Azure Synapse, CloudSQL

Certification

Microsoft Technical Associate, Database Fundamentas

Accomplishments

  • In 2022, my performance was exceptional, earning me a Transformative Impact rating in my appraisal. This distinguished rating, akin to a 5-star accolade, is granted to less than 1% of Googlers, acknowledging outstanding contributions and exceptional performance throughout the calendar year.
  • Led the migration of Sterling Bank's Data Architecture from On-premise to the Azure Cloud, utilizing SSIS and ADF (Azure Data Factory). Implemented automation of Sterling Bank's ETL pipeline, enhancing resilience in case of failures.
  • Architected and executed BETKING's Data Engineering roadmap, establishing the Data Warehouse and constructing ETL Pipelines from the ground up using ADF, SSIS, and Python scripts. Implemented triggers, metrics, and alerts to ensure data consistency, bolstering business confidence in the Data Team.
  • Successfully integrated Tradedepot's CRM platforms, including Freshdesk, Intercom, and Odoo, into the Data Warehouse (AWS Redshift) using a combination of Python scripts, ADF, Stitch Data, and Dataflow.
  • Designed the underlying logic empowering Machine Learning models for Loan Approval.

Timeline

Microsoft Certified: Azure Data Fundamentals - Certified 2023

12-2023

GCP Certified Cloud Digital Leader Certified 2023

11-2023

GCP Certified Cloud Database Engineer - Certified 2023

10-2023

AWS Certified Database Specialty - Certified 2023

09-2023

AWS Certified Database Specialty - Certified 2023

09-2023

GCP Certified Cloud DevOps Engineer - Certified 2023

09-2023

AWS Certified Developer - Certified 2023

01-2023

AWS Certified Devops Professional - Certified 2023

01-2023

AWS Certified Solutions Architect - Certified 2022

12-2022

AWS Certified Cloud Practitioner - Certified 2022

11-2022

Google Cloud Professional Cloud Architect - Certified 2022

04-2022

Google Cloud Professional Data Engineer - Certified 2022

02-2022

Associate Cloud Engineer, Google Cloud - Certified 2022

01-2022

Solutions Engineer (Big Data)

Google
09.2021 - 01.2023

Lead Data Engineer

Tradedepot
03.2021 - 09.2021

Simplilearn, Big Data for Data Engineering.

08-2020

Simplilearn, Data Engineering with Hadoop

08-2020

Lead Data Engineer

Betking
07.2020 - 02.2021

Microsoft Certified Solutions Expert, Data Management and Analytics — Certified 2019

09-2019

Data Engineer

Betking
08.2019 - 05.2020

Microsoft Certified Solutions Associate, Database Development - Certified 2019

07-2019

Querying Data with Transact-SQL

06-2019

Implementing a Microsoft Data Warehouse

04-2019

Developing Microsoft SQL Databases

02-2019

Querying Microsoft SQL Server 2012/2014

01-2019

Data Engineer

Sterling Bank
07.2018 - 08.2019

Microsoft Technical Associate, Database Fundamentas

03-2018

BI Developer

Sterling Bank
01.2018 - 07.2018

Application Support Engineer

Sterling Bank
02.2017 - 12.2017

Data Analyst

Crisp TV
09.2014 - 01.2017

Data Analyst Intern

Crisp TV
02.2014 - 08.2014

Electronics And Computer Engineering -

BEng
10.2009 - 10.2014

Master of Science - Applied MSc in Data Engineering For AI.

DataScience Tech Institute
05.2001 -

Senior Solutions Engineer (Big Data)

Google
2 2023 - Current
Ikenna OkoloData Engineer