Rajnish Jha

Data Engineer

Mumbai, Maharashtra, India1 yr 4 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable data pipelines.
Passionate about data-driven decision-making.
Skilled in transforming complex datasets into insights.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and Fintech data solutions.

Contact

jharajnish@outlook.in LinkedIn

Skills

Core Skills

Data EngineeringCloud ComputingData AnalysisData Visualization

Other Skills

AI AgentAgent WorkflowsAzure Data FactoryAzure Data LakeAzure DatabricksData Intelligence PlatformData Management PlatformsDatabricksETLExcelMicrosoft Excel & VBAMulti-agent SystemsPandasPower BIPySpark

About

I channel my knowledge and experience into maximizing operational efficiency and achieving organizational goals. I embrace challenges as opportunities to learn, teach, and grow — both personally and professionally. My passion lies at the intersection of Business, Analytics, Coding, Data, and Technology. I thrive in environments that demand research, complexity navigation, mentorship, and maintaining a positive and collaborative attitude. As a dedicated Data Engineer, I specialize in building scalable data pipelines, transforming raw data into structured, high-quality datasets, and enabling data-driven decision-making. My journey blends technology, creativity, and strategic thinking to empower organizations with powerful data solutions. I am always open to exciting collaborations around large-scale data engineering and cloud-based analytics projects. I don't just crunch numbers; I craft data-driven narratives. Together, we can turn complex datasets into guided journeys — unlocking hidden opportunities, accelerating growth, and enabling smarter decisions at every step. Let's create something extraordinary! 🚀

Experience

Hansa cequity

Data Engineer

Feb 2025 – Present · 1 yr 1 mo · Mumbai, Maharashtra, India · On-site

Measuring and analyzing data using SparkSQL, PySpark to track key performance metrics & trends.
Performing ETL processes to ensure accurate, structured, and high-quality data for business insights.
Writing Python scripts to automate repetitive tasks, improving efficiency in data processing and reporting.
Leveraging Azure Data Factory (ADF) and cloud computing to automate data pipelines and optimize workflows.
Developing Power BI dashboards to monitor performance, support decision-making, and drive business strategies.

SparkSQLPySparkETLAzure Data FactoryPythonPower BI+2

Au small finance bank

Data Analyst

Mar 2023 – Jun 2023 · 3 mos · Jaipur, Rajasthan, India · On-site

Utilized SparkSQL, PySpark, and Pandas to clean, transform, and manage large datasets.
Designed Power BI, Tableau, and Excel Pivot Chart dashboards for data-driven insights.
Worked with ADF, ADLS, and Synapse to automate data ingestion & transformation.
Developed automated reporting solutions with Power-BI & Excel-Pivot to improve efficiency.
Identified trends, discrepancies, and key insights for decision-making.

SparkSQLPySparkPandasPower BITableauExcel+2