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Cloud Data Engineer with 8+ Years of Proven Expertise accomplished professional specializing in end-to-end data engineering solutions. In-depth understanding of the business process models underlying these domains and leveraging skills in AWS Solutions Architect Associate and Tableau Desktop Specialist certifications, along with proficiency in Python, R, SQL, and DAX programming languages, and analytical tools such as Power BI, Tableau, AWS, Microsoft Azure, SQL Server Data Tools, RStudio, and Microsoft Excel. Extensive experience in business analysis, requirement gathering and eliciting efforts for application development projects including Azure DevOps practice involving Agile, Waterfall methodologies. Participated in different levels of the SDLC cycles – Analyze, Plan, Design, Develop, Test and Deploy in the waterfall and Agile model. Expert Data Manipulator proficient in Python, R, SQL, Excel, and Tableau for advanced data manipulation. Process Improvement Advocate track record of driving process improvements through comprehensive data analysis. High-Impact Reports and Dashboards proven experience in delivering high-impact reports and dynamic dashboards. Azure Data Engineer at Wip ro Technologies leading ETL data pipeline operations with a focus on Azure technologies. Technological Expertise hands-on experience with Azure Databricks, Data Factory, Snowflake, Spark (Scala, Python), and more. Designed and Developed ETL Processes in AWS Glue to migrate Campaign data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift. Worked on ETL Migration services by developing and deploying AWS Lambda functions for generating a serverless data pipeline which can be written to Glue Catalog and can be queried from Athena. ELT/ETL Pipeline Development expertise in developing ELT/ETL pipelines, optimizing data fetching, and deploying CI/CD frameworks. Programming Proficiency strong programming skills in Python, Scala, and proficiency in SQL for data warehousing and analysis. Experienced in Data Architecture and data modeling using Erwin, ER-Studio and MS Visio. Experience in coding SQL for developing Procedures, Triggers, and Packages. Experience in Dimensional Data Modeling Star Schema, Snow-Flake Schema, Fact and Dimensional Tables, concepts like Lambda Architecture, and Batch processing. Experienced in python data manipulation for loading and extraction as well as with python libraries such as NumPy, SciPy and Pandas for data analysis and numerical computations. Extensive knowledge of Data Modeling, Data Conversions, Data integration and Data Migration. Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems (RDBMS)- Oracle, DB2 and SQL Server and from RDBMS to HDFS. Well experienced in Normalization, De-Normalization and Standardization techniques for optimal performance in relational and dimensional database environments. Solid understanding of AWS, Redshift, S3, EC2 and Apache Spark, Scala process, and concepts. Work experience with UNIX/Linux commands, scripting and deploying the applications on the servers. Collaboration and Teamwork adept at collaborating with cross-functional teams and stakeholders in various Data Engineering roles. Currently pursuing a master’s in data science for continuous skill enhancement. Career Aspiration Committed to professional growth within the field of Data Engineering, aiming to contribute to the development and optimization of robust data infrastructure. Developed SSAS Cubes, including Aggregation, KPIs, Measures, Partitioning Cube, and Data Mining Models. Deployed and processed SSAS objects for effective Business Intelligence. Created ad hoc reports and reports with complex formulas. Executed queries on the database for Business Intelligence purposes. Developed Parameterized, Chart, Graph, Linked, Dashboard, Scorecards, and Cascading reports using SSRS on SSAS Cube. Demonstrated flexibility, enthusiasm, and a project-oriented approach as a team player. Exhibited excellent written, verbal communication, and leadership skills, contributing to the development of creative solutions for challenging client needs. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills. Detail-oriented Data Engineer designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages. Background includes data mining, warehousing and analytics. Proficient in machine and deep learning. Quality-driven and hardworking with excellent communication and project management skills. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Engineer position. Ready to help team achieve company goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

To work for an organization which provides me the opportunity to improve my skills and knowledge to grow along with the organization objective.

Results-focused Azure Data Engineer with over 4 years of expertise in data extraction (ETL), data pipeline development (ADF, Spark), Cloud (Azure), and data visualization (Power BI, Tableau). Proficient in migrating SQL databases to Azure Data Lake Analytics, Azure SQL Database, Data Bricks, and Azure SQL Data warehouse, as well as controlling and granting database access. Skilled in optimizing Data Build Tool (DBT) projects in a Snowflake environment by implementing incremental models, leveraging partitioning, tuning query performance, and reducing query runtime and cloud data warehousing costs. Experienced in Spark applications using Spark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats to uncover insights into customer usage patterns. Known for designing, building, and optimizing complex data pipelines and ETL processes with expertise in SQL, Python, and cloud platforms to ensure seamless data integration and robust data solutions. Recognized for excelling in collaborative environments, adapting swiftly to evolving needs, and driving team success.

To leverage my 5+ years of experience as a Data Engineer to contribute effectively to a dynamic organization where I can apply my expertise in designing, developing, and maintaining scalable data infrastructure and solutions.

Highly skilled Data Analyst with comprehensive experience in interpreting and analyzing complex data sets. Proficiency in statistical software, data mining, and predictive modeling techniques contributes to robust decision-making processes. Demonstrated ability to streamline operations by identifying trends and improving data reporting efficiency. Known for effectively translating technical information to multiple stakeholders for increased understanding and strategic planning.

JAMES WILFRED NDIKINTUM

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Azure Data Engineer

Azure Data Engineer

Data Analyst

Education

Bachelor of Science - Accounting

Master of Science - Computer Science and Quantitative Methods

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Timeline

Azure Data Engineer

Azure Data Engineer

Master of Science - Computer Science and Quantitative Methods

Data Analyst

Bachelor of Science - Accounting

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