Babul Maharana 🇮🇳 — Data Engineer

🚀 Experienced Data Engineer | Azure | Databricks | Scalable Data Pipelines | Driving Data-Driven Decisions I am a passionate Data Engineer with over 5 years of hands-on experience in architecting and implementing scalable, high-performance data solutions. I specialize in transforming raw data into actionable insights and building robust data infrastructures that support critical business decisions. 🛠️ Key Skills & Technologies • Azure SQL: Designing and optimizing databases for scalability, reliability, and performance. • Data Modeling: Creating efficient data models that streamline storage and retrieval. • ETL Pipelines: Building end-to-end ETL workflows for seamless data integration. • Azure Data Factory: Developing scalable, automated pipelines for complex data orchestration. • Azure Databricks: Advanced data processing, real-time analytics, and large-scale data exploration using Spark. 🏆 Notable Achievements • Optimized Azure SQL Databases, achieving faster query performance and increased system stability for business-critical applications. • Designed efficient data models, reducing storage costs and improving data retrieval times. • Led ETL development across heterogeneous systems, ensuring smooth data movement and transformation. • Built automated pipelines in ADF, enabling timely and reliable data delivery for analytics and reporting. • Utilized Azure Databricks to process terabytes of data, enabling real-time analytics and deeper insights for business stakeholders. 🤝 Let’s Connect I’m always open to networking, learning, and collaborating with data professionals. Let’s connect to share insights, explore new technologies, and drive innovation in the world of data engineering!

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on Azure technologies.

Experience: 5 yrs 9 mos

Skills

Azure Databricks
Azure Data Factory
Azure Sql

Career Highlights

Over 5 years of experience in data engineering.
Expert in building scalable data solutions on Azure.
Proven track record in optimizing data pipelines and databases.

Work Experience

Globant

Data Engineer SSr Adv (1 mo)

Exusia

Data Engineer | Associate (8 mos)

Data Engineer | Senior Analyst (2 yrs 8 mos)

Resilience InfoTech

Data Engineer | SSE (4 mos)

Data Engineer | SE (1 yr 2 mos)

Instaminds Technologies and Outsourcing.

Software Engineer Trainee (10 mos)

Education

Master of Computer Applications - MCA at Biju Patnaik University of Technology, Odisha

Bachelor of Science at Ravenshaw University

Babul Maharana 🇮🇳

Data Engineer

India5 yrs 9 mos experience

Highly Stable

Key Highlights

Over 5 years of experience in data engineering.
Expert in building scalable data solutions on Azure.
Proven track record in optimizing data pipelines and databases.

Stackforce AI infers this person is a Data Engineer specializing in SaaS solutions with a focus on Azure technologies.

Contact

Skills

Core Skills

Azure DatabricksAzure Data FactoryAzure Sql

Other Skills

Scala in SparkETLPySparkAzure Data LakeMicrosoft SQL ServerPL/SQLTeradata SQLAzure SynapsePython (Programming Language)Microsoft Power BIData EngineeringSQL Server Integration Services (SSIS)SQL Server Management StudioSQL TuningAzure

About

Experience

Globant

Data Engineer SSr Adv

Mar 2026 – Present · 1 mo · Remote

Scala in SparkAzure Databricks

Exusia

2 roles

Data Engineer | Associate

Jul 2025 – Mar 2026 · 8 mos · Remote

As a Data Engineer, I focus on designing, developing, and optimizing scalable data solutions using Azure cloud technologies, enabling efficient data processing and analytics for business stakeholders.
Key Responsibilities:
Designed and implemented end-to-end ETL pipelines using Azure Data Factory, ensuring timely and reliable data movement across various systems.
Developed and maintained high-performance Azure SQL databases, optimizing queries and indexing strategies for maximum efficiency.
Leveraged Azure Databricks for advanced data processing, including large-scale data transformations, real-time analytics, and exploratory data analysis using PySpark/Spark SQL.
Created robust data models and architectures, ensuring scalability, reusability, and maintainability across data solutions.
Collaborated with cross-functional teams to gather requirements, understand data needs, and deliver actionable insights through automated data workflows.
Implemented data quality checks and validation frameworks to ensure accurate and trustworthy data for downstream reporting.
Key Achievements:
Improved data pipeline performance by 30%, reducing overall processing time and enhancing data availability for analytics.
Consolidated data from multiple sources (CSV, JSON, Parquet, Avro) into a unified data lake, enabling seamless reporting and business intelligence.
Enabled real-time data insights for business teams by optimizing streaming workloads in Azure Databricks.

Azure Data FactoryAzure SQLAzure DatabricksScala in Spark

Data Engineer | Senior Analyst

Nov 2022 – Jul 2025 · 2 yrs 8 mos · Remote

FedEx Dynamic Pricing focuses on multiple use cases, with the first two involving the migration of existing applications from Ab Initio to Azure. The project is designed to gather shipment details for specific time periods based on user input and calculate charges according to customer transactions. The goal is to modernize the pricing workflow and enhance data processing capabilities using Azure technologies.
File Formats: CSV, AVRO, Parquet, JSON
Role & Responsibilities:
Led the migration of on-premises Ab Initio applications to Azure, designing and implementing ADF pipelines and Databricks Notebooks using Spark Scala.
Worked extensively with diverse file formats (AVRO, JSON, Parquet, CSV) for reading and writing data within Spark.
Developed utilities in Spark Scala to validate and compare outputs between Ab Initio and Azure environments, ensuring data accuracy.
Collaborated closely with customers to gather business requirements and translate them into technical solutions.

Scala in SparkAzure Databricks