Nagarjuna Esulapati
Azure Data Engineer | ADF · Databricks · PySpark · ADLS Gen2 · Sql · Python | 1.5 Years @ LTIMindtree
Hyderabad
2+ years of work experience
Jan 20251 yr 6 mosPresent
Hyderabad, Telangana, India
Working as an Azure Data Engineer at LTIMindtree, designing and delivering
enterprise-scale data pipelines and transformation solutions on the Microsoft
Azure platform for a large financial services client.
Data Pipeline & Orchestration:
Designed and developed end-to-end data pipelines using Azure Data Factory (ADF),
implementing metadata-driven frameworks to handle Full Load and Incremental Load
patterns efficiently across multiple source systems.
Configured ADF Linked Services, Datasets, Triggers, and parameterized pipelines
to enable dynamic and reusable pipeline execution at scale.
Data Transformation & Processing:
Built and optimized data transformation logic in Azure Databricks using PySpark
and Python, processing large volumes of structured and semi-structured data
across Bronze, Silver, and Gold layers of the Medallion Architecture.
Wrote optimized SQL queries on Azure SQL Database for data extraction,
validation, aggregation, and reconciliation across multiple datasets.
Storage & Security:
Managed data storage on Azure Data Lake Storage Gen2 (ADLS Gen2), maintaining
structured directory layouts and Parquet file outputs for downstream consumption.
Integrated Azure Key Vault for secure management of secrets, connection strings,
and credentials across ADF pipelines and Databricks notebooks.
Automation & Integration:
Utilized Azure Logic Apps to automate workflow triggers, email notifications,
and event-based integrations as part of broader data platform operations.
Applied data engineering best practices including data quality checks, error
handling, logging, and pipeline monitoring across all solutions delivered.
Dec 20242 mosJan 2025
Bhubaneshwar, Odisha, India
Joined LTIMindtree as a Graduate Engineer Trainee at the Bhubaneswar, Odisha
delivery center, where I completed structured pre-project training across
enterprise data engineering technologies and tools.
Operating Systems & Scripting: Gained hands-on experience in Linux and Unix
environments, including file system navigation, process management, and
permissions. Developed Shell Scripts to automate repetitive tasks and schedule
jobs using Cron.
Ab Initio (ETL): Trained on Ab Initio GDE and EME for designing and executing
data processing graphs. Worked with core components such as Reformat, Join,
Rollup, Partition, and Departition. Understood Co>Operating System concepts
including sandbox management and parallel processing.
SQL & Database: Practiced writing complex SQL queries — joins, subqueries,
aggregations, window functions, and stored procedures — on relational databases
for data extraction and transformation tasks.
Python: Learned Python fundamentals including data types, control flow,
functions, file handling, and libraries relevant to data processing.
Data Engineering Concepts: Gained foundational understanding of ETL pipelines,
data warehousing concepts, batch processing, data quality, and enterprise data
flow architecture.
This training built the technical foundation that I applied in my current role
as an Azure Data Engineer and ETL Support within LTIMindtree.
May 20247 mosNov 2024
Bengaluru, Karnataka, India
Completed a comprehensive 6-month Java Full Stack Development training at JSpiders, Basavanagudi, Bangalore, with parallel training in Data Structures and Algorithms (DSA).
Core Java: OOP concepts (Inheritance, Polymorphism, Encapsulation, Abstraction), Exception Handling, Collections Framework, Multithreading, File I/O, and JDBC. Advanced Java: Servlets, JSP, MVC Architecture, and RESTful Web Services using Spring Boot and Spring MVC. Worked with Hibernate ORM for database interaction.
Front-End Development: Built responsive web pages using HTML5, CSS3, JavaScript, and Bootstrap. Practiced DOM manipulation and event handling in JavaScript.
Database: Wrote SQL queries using MySQL — DDL, DML, joins, subqueries, and stored procedures.
Data Structures & Algorithms: Implemented Arrays, Linked Lists, Stacks, Queues, Trees, and Graphs. Practiced sorting and searching algorithms with time and space complexity analysis.
Tools & Technologies: Eclipse IDE, Git, GitHub, Maven, Postman, Tomcat Server. Built hands-on mini projects including a Student Management System and a Library Management System using Spring Boot and MySQL, applying the full MVC pattern end-to-end.
Education
Bachelor's degree, Mechanical Engineering
Madanapalle Institute of Technology & Science
20204 yrs2024
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