Manoj Kumar — Data Engineer

Data Engineer | Cloud-Native Architectures | Generative AI Explorer I’m a passionate data engineer with over 3 years of experience designing scalable, cloud-first data solutions that drive business impact. My work spans Azure Data Lake, Databricks, Spark, and Power BI—where I’ve built end-to-end pipelines, optimized performance, and delivered insights that matter. What I Do Best: Architecting robust data pipelines using PySpark, Delta Lake Lake, Azure Data Factory, and Synapse Analytics Exploring Lakehouse paradigms to unify batch + streaming workloads for real-time analytics Leveraging Generative AI to accelerate development, automate documentation, and enhance data quality Building dynamic Power BI dashboards with optimized DAX and Power Query logic Troubleshooting Spark DAGs, SQL execution plans, and pipeline bottlenecks with precision What I’m Exploring Now: Delta Lake & Lakehouse: Designing unified architectures that simplify data governance and enable real-time insights Microsoft Fabric: Understanding how its unified analytics platform reshapes modern data engineering workflows Generative AI: Integrating GenAI into pipeline development, testing, and metadata management Structured Streaming: Simulating real-time ingestion using Spark DataFrame chunking and S3 integration Why I Stand Out: I combine technical rigor with a problem-solving mindset. Whether optimizing Spark jobs or refining SQL logic, I break down complexity into clarity. I communicate effectively across teams, and I’m always learning—because great data engineers never stop evolving. Career Goal: I’m actively seeking opportunities to contribute to innovative data engineering teams—where I can build scalable systems, explore emerging technologies, and help shape the future of data-driven decision-making. Let’s connect if you’re building something exciting in the data space. I’m ready to bring curiosity, clarity, and code to the table.

Stackforce AI infers this person is a Data Engineering expert in Retail Analytics with cloud-native architecture skills.

Location: Gurugram, Haryana, India

Experience: 3 yrs 11 mos

Skills

Data Engineering
Cloud Data Solutions
Analytics
Data Warehousing
Etl Processes
Data Optimization

Career Highlights

Reduced data processing time by over 50%.
Improved marketing campaign targeting efficiency by 30%.
Designed a centralized data warehouse leading to 15% user engagement increase.

Work Experience

NCS Group

Data Engineer (9 mos)

Consultant - Data Engineering

Data Engineer (2 yrs)

MAQ Software

Software Engineer (1 yr 2 mos)

Education

Bachelor of Technology - BTech at Lovely Professional University

Manoj Kumar

Data Engineer

Gurugram, Haryana, India3 yrs 11 mos experience

Key Highlights

Reduced data processing time by over 50%.
Improved marketing campaign targeting efficiency by 30%.
Designed a centralized data warehouse leading to 15% user engagement increase.

Stackforce AI infers this person is a Data Engineering expert in Retail Analytics with cloud-native architecture skills.

Contact

Skills

Core Skills

Data EngineeringCloud Data SolutionsAnalyticsData WarehousingEtl ProcessesData Optimization

Other Skills

Analytical SkillsApache SparkAzureAzure Data FactoryAzure Data Lake StorageAzure DatabricksAzure StorageAzure Synapse AnalyticsBig Data AnalyticsBusiness Intelligence (BI)C#Cascading Style Sheets (CSS)DAXData AnalysisData Structure and Algorithms

About

Experience

3 yrs 11 mos

Total Experience

1 yr 6 mos

Average Tenure

9 mos

Current Experience

Ncs group

Data Engineer

Sep 2025 – Present · 9 mos · India · On-site

Consultant - data engineering

Data Engineer

Jul 2023 – Jul 2025 · 2 yrs · India · Remote

Client: Confidential India-based Retail Analytics Firm July 2023 – July 2025
Engineered and automated end-to-end data pipelines using Azure Data Factory and Databricks, reducing data processing time by over 50% and enabling real-time analytics in Power BI.
Developed a scalable customer analytics platform with PySpark on Azure, delivering key insights that improved marketing campaign targeting efficiency by an estimated 30%.
Designed and deployed a centralized Azure Synapse data warehouse to consolidate product usage data, empowering stakeholders with analytics that led to a 15% increase in user engagement.
Integrated Azure Data Lake Storage for robust raw data ingestion and optimized complex queries in Synapse, ensuring high availability and performance for business intelligence reporting.
Technologies Used: Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, PySpark, SQL, Power BI.
Dedicated to continuous learning and advancing skills for high-impact roles in data engineering and analytics.

Azure Data FactoryAzure DatabricksAzure Synapse AnalyticsAzure Data Lake StoragePySparkSQL+3

Maq software

Software Engineer

Jan 2022 – Mar 2023 · 1 yr 2 mos · Hyderabad, Telangana, India

Designed and implemented robust ETL processes using Microsoft SQL Server, Azure Data Factory, and Azure Storage to efficiently extract, transform, and load data across diverse sources, ensuring seamless integration and
high-performance data pipelines.
Streamlined data collection by 75% and optimized data storage through parallel Processing and integration of SQL bulk copy, delivering result ahead of scheduled and receiving recognition from management.
Led end-to-end ownership of metrics, including transformation of upstream data, creation of views, and implementation of measures in the Analysis Server for use in Power BI reports and front-end solutions.
Ensuring data security through row level security and daily verification testing. Utilized expertise in SQL Server and Azure technologies, including ADB, ADLS, ADF, and ADW, to manage back-end dependencies.
Developed and Maintained test scripts using C# Programming Language and integrated them with the selenium
framework.

Microsoft SQL ServerAzure Data FactoryAzure StoragePower BIC#Selenium+2