Manoj Chandra Joshi

Data Engineer

Nainital, Uttarakhand, India4 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 4 years of experience in Data Engineering.
Expert in building scalable data solutions using Azure.
Proven track record in optimizing data processing workflows.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and ETL processes.

Contact

Skills

Core Skills

Data EngineeringCloud Data SolutionsData MigrationData Quality Assurance

Other Skills

Azure Data FactoryAzure Data Lake StorageAzure DatabricksAzure DevOpsAzure FunctionsAzure Logic AppsC (Programming Language)C++Cloud SolutionsData StructuresDremioExtract, Transform, Load (ETL)GitHub ActionsIICSInformatica

About

Bachelor of Technology: Computer Science Engineering. Data Engineer with over 4 years of experience in ETL/ELT processes, Big Data technologies, and cloud-based data migration. Proficient in SQL, Python, Spark, Hadoop, and Azure services, with a strong track record of building scalable and efficient data solutions

Experience

Ncr atleos

3 roles

Data Engineer II

Promoted

Jul 2024 – Present · 1 yr 8 mos

Built large-scale, unified data pipelines using Spark, Azure Data Factory, and Azure Databricks
Migrated legacy ETL workflows to Azure and Databricks, resulting in a 40% increase in processing speed
Optimized a slow-performing SQL query by converting it into a Databricks script, reducing runtime by 45%
Developed custom data ingestion pipelines using Python and REST APIs to extract and normalize data from third-party platforms into Azure Data Lake Storage

SparkAzure Data FactoryAzure DatabricksSQLPythonData Engineering+1

Data Engineer I

Oct 2023 – Jul 2024 · 9 mos

NCR Corporation has separated into two separate and distinct companies @NCR Atleos and @NCR Voyix.

Data Engineer I - NCR Corporation

Jan 2022 – Oct 2023 · 1 yr 9 mos

Led on-premises to cloud data migration for Revenue and General Ledger (GL) business reporting systems
Designed and implemented data models to support scalable analytics solutions across the finance domain
Developed automated data quality checks using Python and SQL to validate data accuracy, completeness, and consistency
Built CI/CD pipelines using Azure DevOps and GitHub Actions for automated testing and deployment of data workflows, reducing manual deployment efforts by 50% and improving release consistency

PythonSQLAzure DevOpsGitHub ActionsData MigrationData Quality Assurance