Nikhil Manoj

Data Engineer

Albany, New York, United States3 yrs 8 mos experience

Key Highlights

Expert in building scalable data pipelines and platforms.
Proficient in Python, SQL, and PySpark for data workflows.
Experienced with big data technologies like Spark and Kafka.

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

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Skills

Core Skills

Data EngineeringEtl Pipelines

Other Skills

SnowflakeAzure Data FactoryApache SparkBusiness Intelligence ProjectsSpring MVCMachine Learning AlgorithmsMachine LearningBusiness Intelligence (BI)Python (Programming Language)Microsoft AzureSQLMicrosoft Power BIData WarehousingSQL Server Analysis Services (SSAS)SQL Server Integration Services (SSIS)

About

I am a Data Engineer with experience building scalable data pipelines, modern data platforms, and analytics solutions across cloud environments. My expertise lies in designing end-to-end data workflows using Python, SQL, and PySpark while leveraging cloud platforms such as AWS and Azure. I have worked extensively with big data technologies including Apache Spark, Kafka, and Airflow to process large-scale batch and streaming datasets. In my previous roles at Capgemini and Marsh McLennan, I developed reliable ETL pipelines, optimized data warehouses, and enabled business teams to make data-driven decisions through well-structured data models and BI dashboards. I have hands-on experience with tools such as Snowflake, Redshift, Azure Data Factory, and Power BI. I am passionate about building efficient data systems that transform raw data into actionable insights. Currently, I am focused on advancing my expertise in distributed data processing, real-time analytics, and modern data engineering architectures.