Hi, I’m Chijioke Nichodemus Ani. I’m a results-driven Data Engineer who builds and sustains cloud data pipelines using Azure Databricks, Azure Data Factory, Delta Lake, and SQL Server. I focus on ETL, Spark optimization, data quality, and proactive monitoring to ensure accurate, reliable data flows. I enjoy working across cloud and on-prem systems, improving pipeline performance, strengthening governance with Unity Catalog, and supporting service operations within SLAs. I’m excited to bring these skills to a high-performing engineering team and continue learning through real-world challenges. In my spare time, I contribute to volunteer analytics projects and explore data science applications, including model development and dashboarding. I thrive on collaboration, clean code, and pragmatic problem solving.

CHIJIOKE NICHODEMUS ANI

Hi, I’m Chijioke Nichodemus Ani. I’m a results-driven Data Engineer who builds and sustains cloud data pipelines using Azure Databricks, Azure Data Factory, Delta Lake, and SQL Server. I focus on ETL, Spark optimization, data quality, and proactive monitoring to ensure accurate, reliable data flows. I enjoy working across cloud and on-prem systems, improving pipeline performance, strengthening governance with Unity Catalog, and supporting service operations within SLAs. I’m excited to bring these skills to a high-performing engineering team and continue learning through real-world challenges. In my spare time, I contribute to volunteer analytics projects and explore data science applications, including model development and dashboarding. I thrive on collaboration, clean code, and pragmatic problem solving.

Available to hire

Hi, I’m Chijioke Nichodemus Ani. I’m a results-driven Data Engineer who builds and sustains cloud data pipelines using Azure Databricks, Azure Data Factory, Delta Lake, and SQL Server. I focus on ETL, Spark optimization, data quality, and proactive monitoring to ensure accurate, reliable data flows. I enjoy working across cloud and on-prem systems, improving pipeline performance, strengthening governance with Unity Catalog, and supporting service operations within SLAs. I’m excited to bring these skills to a high-performing engineering team and continue learning through real-world challenges.

In my spare time, I contribute to volunteer analytics projects and explore data science applications, including model development and dashboarding. I thrive on collaboration, clean code, and pragmatic problem solving.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate

Work Experience

Data Engineer at Information Tech Consultant
January 1, 2025 - October 1, 2025
Built and maintained Azure Databricks pipelines with Delta Lake, Auto Loader, and PySpark to improve ingestion reliability and pipeline stability by ~35%. Migrated on-premises SQL Server and file-based systems to Azure Data Lake via ADF, improving data availability and reducing delays by ~40%. Implemented Unity Catalog and RBAC to strengthen governance and reduce access-related issues by ~25%. Optimized Databricks workloads with partitioning, caching, and Z-Ordering, reducing runtimes by ~30%. Monitored pipelines with Azure Monitor and Log Analytics to troubleshoot issues, cutting recurring failures by ~20%. Supported SQL Server performance checks, indexing clean-up, and monitoring long-running queries, improving query times by ~15%. Supported on-call tasks and incident resolution in line with internal SLAs.
Data Analyst (Volunteer) at Hi-Tech Plus
July 1, 2024 - November 1, 2024
Cleaned, transformed, and validated datasets for reporting, improving data accuracy by 30%. Built dashboards in Google Data Studio, reducing manual reporting time by 25%. Optimised SQL queries and connections, resulting in 20% faster data retrieval. Supported senior analysts with dataset preparation and root-cause checks, improving project turnaround times by 15%.
Data Science Intern at Teesside University
August 1, 2023 - February 1, 2024
Analyzed MRI datasets and trained deep learning models, improving lumbar disc herniation classification accuracy by 18%. Performed MRI image segmentation using Blender, improving dataset quality and model performance. Automated preprocessing scripts with Python, reducing manual data preparation time by 40%. Deployed a Streamlit app for model inference, enabling easy access for supervisors. Documented experiments and results to improve reproducibility.
Tech Support Engineer at eTranzact International PLC
February 1, 2020 - August 1, 2022
Monitored real-time financial transactions and system health, reducing downtime by 30%. Analyzed logs to trace failures, improving incident resolution speed by 25%. Identified recurring issues and helped implement fixes to reduce repeats by 20%. Maintained SLA compliance and clear communication with internal teams and customers.

Education

MSc Data Science at Teesside University
January 11, 2030 - January 1, 2024
BEng Electronic Engineering at University of Nigeria, Nsukka
January 11, 2030 - January 1, 2016

Qualifications

Microsoft Certified: Azure Data Engineer Associate
January 11, 2030 - January 8, 2026

Industry Experience

Software & Internet