Arijit Datta — Associate Consultant

🌐 Azure & Databricks Data Engineer | Data Transformation & Optimization Specialist | Insights-Driven Decision MakerWith a deep-rooted passion for data and over 4 years of experience in cloud-based analytics, I specialize in transforming complex datasets into actionable insights that drive business growth. As an Azure Data Engineer, I work at the intersection of technology and strategy to deliver robust, scalable, and efficient data solutions on Microsoft’s cloud platform.🚀 Core Competencies: • Data Engineering & ETL: Leveraging Databricks, PySpark, and Spark SQL to build high-performance ETL pipelines that handle large volumes of structured and unstructured data. My expertise in data transformation and process automation helps organizations streamline workflows and reduce processing times significantly. • Optimization & Performance Tuning: Skilled in optimizing Spark and SQL queries, refining data architectures, and maximizing resource utilization, I ensure that data pipelines are not only functional but also cost-effective and highly efficient. • Data Warehousing: Experienced in designing and implementing data warehouses that support scalable storage and fast query performance. I utilize best practices in data warehousing to create single sources of truth, empowering teams across the organization with consistent, reliable data. • Data Visualization & Business Intelligence: Proficient in Power BI, I create compelling dashboards and reports that highlight key trends and metrics, enabling data-driven decision-making at every level of the organization.💡 Key Skills: • Technical: Azure Data Factory, PySpark, Python, Databricks, Spark SQL, Power BI, SQL Server, Synapse Analytics, and Data Lake • Cloud Architecture: Building cloud-native solutions using Azure’s suite of services to support analytics, storage, and processing in real time. • Collaboration: Working cross-functionally with stakeholders in data science, analytics, and product teams to design and implement data models that directly support business objectives.🔍 Why Data Engineering? I’m passionate about building efficient data architectures that turn raw data into insights, enhancing decision-making and operational efficiency. My approach is both technical and strategic—whether I’m tuning a Spark job or architecting a data lake, my goal is to drive value for the organization.Let’s connect if you’re interested in discussing data engineering, Azure cloud solutions, or best practices for building optimized, scalable data pipelines.

Stackforce AI infers this person is a Data Engineering specialist with a focus on cloud-based analytics solutions.

Location: Singapore, Singapore

Experience: 4 yrs 11 mos