Work Type
Full TimeLocation Preference
RemoteHybridLocation: Hyderabad, TG
Open to relocation: No
Jeevan Kumar Mula
Senior Data Engineer
Hyderabad,Telangana
Work Preference
Summary
Experienced in designing and delivering scalable cloud-based data engineering solutions using Azure Data Factory (ADF), dbt, and Snowflake. Responsible for building robust ELT pipelines, developing modular data transformation models, optimizing Snowflake data warehouse performance, and implementing automated CI/CD deployments using Azure DevOps. Experienced in integrating Azure Key Vault for secure secrets management and leveraging Azure Monitor for proactive monitoring, alerting, and operational support. Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions following Agile and DevOps best practices.
Overview
3
3
Languages
1
1
Certification
11
11
years of professional experience
Work History
Senior Data Engineer
Zensar Technologies
06.2025 - Current
- Senior Data Engineer with experience in designing, developing, and maintaining scalable cloud-based data engineering solutions on the Microsoft Azure platform.
- Hands-on experience in building and orchestrating ETL/ELT pipelines using Azure Data Factory (ADF) for data ingestion, transformation, and workflow automation.
- Strong experience in developing and managing data transformation models using dbt (Data Build Tool), implementing modular SQL-based transformations, incremental models, snapshots, tests, and documentation.
- Proficient in Snowflake data warehouse development, including database design, data loading, performance tuning, query optimization.
- Leveraged Snowflake Cortex AI to accelerate the migration of legacy SQL Server workloads by intelligently converting T-SQL code into Snowflake-compatible SQL, significantly reducing manual conversion effort, improving developer productivity, and expediting the overall cloud migration process.
- Performed comprehensive validation and optimization of Cortex AI-generated SQL by reconciling results with legacy SQL Server implementations, ensuring functional equivalence, data accuracy, and a seamless transition to the Snowflake cloud data platform.
- Experience implementing CI/CD pipelines using Azure DevOps by automating build, validation, and deployment of Azure Data Factory pipelines and dbt code across Development, UAT, and Production environments.
- Worked with Azure Repos, Azure Pipelines, and Git for source code management, version control, branching strategies, and release management.
- Experience integrating Azure Key Vault with Azure services to securely manage application secrets, connection strings, credentials, connection strings, and access keys, ensuring secure application deployment.
- Hands-on experience using Azure Monitor for monitoring pipeline executions, configuring alerts, analyzing logs, and troubleshooting production issues.
- Strong understanding of data warehousing concepts, ETL/ELT methodologies, data modelling, and data quality best practices.
- Experience collaborating with cross-functional teams, including business stakeholders, analysts, and architects, to deliver scalable and reliable data solutions.
- Skilled in SQL development, performance optimization, debugging, and resolving production support issues while ensuring data integrity and high availability.
- Familiar with Agile/Scrum methodologies, sprint planning, code reviews, and DevOps best practices for continuous delivery.
Azure Data Engineer & ETL Developer
Zensar Technologies Limited
04.2022 - 05.2025
- Designed and implemented scalable data ingestion frameworks using Azure Data Factory (ADF) to extract data from multiple on-premises and cloud data sources into the Bronze layer of Azure Data Lake Storage Gen2 (ADLS Gen2).
- Developed robust ETL/ELT solutions using Azure Databricks (PySpark & Spark SQL) to transform, cleanse, enrich, and aggregate data across Silver and Gold layers, delivering curated datasets for downstream analytics and reporting.
- Built reusable and modular Azure Databricks notebooks leveraging PySpark, Spark SQL, and DataFrames to process large-scale datasets while implementing complex business transformation logic.
- Optimized Azure Databricks workloads by applying Spark performance tuning techniques, including partitioning, caching, efficient joins, and cluster optimization, improving processing efficiency and scalability.
- Designed metadata-driven and parameterized ADF orchestration pipelines using Integration Runtime, Linked Services, Datasets, Triggers, and activities such as Lookup, Get Metadata, ForEach, Execute Pipeline, and Web Activity to automate end-to-end data workflows.
- Implemented CI/CD pipelines using Azure DevOps to automate the deployment of Azure Data Factory pipelines and Azure Databricks notebooks across Development, UAT, and Production environments, ensuring reliable and consistent releases.
- Integrated Azure Key Vault for secure management of application secrets and credentials, and utilized Azure Monitor and Log Analytics for proactive monitoring, alerting, and troubleshooting of production data pipelines.
- Collaborated with Solution Architects, Product Owners, and business stakeholders in an Agile/Scrum environment to deliver scalable, secure, and high-performance enterprise data engineering solutions aligned with business requirements.
Informatica PowerCenter & IICS Developer
Genpact India Pvt. Ltd.
05.2018 - 03.2022
- Extensively used Informatica client tools - Source Analyzer, Target designer, Mapping designer, Mapplet Designer, Informatica Repository Manager, and Informatica Workflow Manager.
- Various kinds of the transformations were used to implement simple and complex business logic.
- Extensively used various transformations like Filter, Sorter, Aggregator, Lookup, Expression, Filters, Router, Update Strategy, Joiner, Normalizer etc in the Mappings.
- Expertise in slowly changing dimensions to maintain historical as well as incremental data using Type I, Type II and Type III strategies.
- Worked on Informatica Intelligent Cloud Services(IICS) to connecting to Salesforce and Snowflake.
- Implemented Snowflake's Time Travel and Fail-safe features, enhancing data recovery options and built robust data ingestion frameworks using Snowpipe.
- Good Knowledge on Unix/Linux Shell Scripting.
- Responsible to fine tune ETL procedures and star schemas to optimize load and query performance.
- Interacted with the clients on a regular basis to understand and give better solutions to the Business requirements.
- Analyze and understand the Technical Specification Document (Source to Target matrix) for all mappings and clarify the issues with Data Architects.
Informatica Administrator
Genpact India Pvt. Ltd.
10.2016 - 04.2018
- Experience in Installation & upgradation of Informatica 9.x, 10.x
- Experience in code migration across the environments.
- Creation of Informatica new users and groups & giving necessary access privileges to them.
- Worked on all Informatica administration functions such as user access accounts, roles, privileges, and LDAP configuration.
- Mainly involved in the Migration activities of Repository XML objects from Development to UAT and Production.
- Migration of the UNIX scripts, Parameter files from Development to UAT & Production.
- Working on all the requests given by Development, Enhancement & Support teams.
- Installed the new Hot Fixes & EBF's to adopt the resolution from Informatica code bugs or enhancements.
- Maintenance of the script's usage on servers such as Repository backup, Disk Space monitoring, Server monitoring for all the Environments.
- Managing and Scheduling the Backups of all the Domain and Repository.
- Provide support to ETL application development/production teams.
Informatica PowerCenter Support Engineer
Genpact India Pvt. Ltd.
05.2015 - 09.2016
- Working on solving customer created service tickets related to Data Integration issues.
- Attending the daily status update calls to discuss all the service tickets assigned to the team.
- Follow up on the service requests which are pending with the user validations and Confirmation.
- Providing the Analysis/Resolution to the Business-Critical service requests which are impacting more than one user.
- Providing support to team members in the issue analysis and finding the root cause.
- Working on prioritizing the tickets and assigning to the Service assurance team.
- Participating in the troubleshooting calls and helping the other technical teams in any sort of data related issues within the EDW and other data marts.
- Taking care of Infrastructure monthly maintenance activities and providing the status communication to the stakeholders.
- In case of any application outages, will participate in identifying the root case and restoring the services along with providing the regular communications to the user community and to the customer leadership team.
- Working on access related service tickets and providing the required roles and assigning the groups to the users.
- Working on reviewing the closed tickets on Data Visualization and doing a peer review.
Education
B.Tech - Computer Science & Engineering
Nalla Narasimha Reddy Engineering College
Hyderabad, India06-2013
Skills
- Azure Data Factory (ADF)
- Azure Databricks (ADB)
- Azure Data Lake Storage (ADLS Gen2)
- Azure BLOB
- Azure SQL Database
- Azure Synapse Analytics
- Azure DevOps
- Azure KeyVault
- DBT
- Snowflake
- Informatica PowerCenter
- Unix Shell Scripting
- Windows Batch Scripting
- Informatica Cloud
- Python Programming
- Oracle
- SQL Server
- PostgreSQL
- Jenkins
- Core Java
- BigData tools (Hive, Pig, HDFS)
- Reporting tools(OBIEE & Power BI)
- DAC Scheduler
LANGUAGES
Telugu - Native
English - Fluent
Hindi - Fluent
Certification
- Databricks Certified Data Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- AWS CCP Certified
AWARDS
- Customer Centricity (Leader) – for owning and delivering the tasks
on time as a single resource. - Special Project Gold in the category of INTEGRITY - Performance
with exceptional Integrity for outstanding contribution. - Silver Cheers in the category of Innovation Keeps Us Ahead of The
Curve for outstanding contribution.
Timeline
Senior Data Engineer
Zensar Technologies
06.2025 - Current
Azure Data Engineer & ETL Developer
Zensar Technologies Limited
04.2022 - 05.2025
Informatica PowerCenter & IICS Developer
Genpact India Pvt. Ltd.
05.2018 - 03.2022
Informatica Administrator
Genpact India Pvt. Ltd.
10.2016 - 04.2018
Informatica PowerCenter Support Engineer
Genpact India Pvt. Ltd.
05.2015 - 09.2016
B.Tech - Computer Science & Engineering
Nalla Narasimha Reddy Engineering College