Krishnakant Vishwakarma

Data Engineer

Bengaluru, Karnataka, India2 yrs 7 mos experience

Key Highlights

Expert in Azure-based data engineering solutions.
Developed multi-stage ETL applications improving efficiency by 30-40%.
Microsoft Certified Data Engineer with strong cloud infrastructure skills.

Stackforce AI infers this person is a Data Engineer specializing in Azure cloud solutions within the Fintech industry.

Contact

Skills

Core Skills

Data EngineeringCloud Infrastructure

Other Skills

Data EngineerOracle CloudPySparkSQLData ProcessingData IngestionData TransformationTerraformAzure Data FactoryAzure DatabricksPythonPower PlatformDjangoBootstrapHTML

About

Tata Consultancy Services has provided a platform to contribute as a Data Engineer, focusing on Azure-based solutions to enhance data engineering workflows. Our team developed and implemented a multi-stage ETL application for the Actuarial/Accounting/Tax team, leveraging Databricks, Python, and PySpark for data transformation, achieving significant gains in efficiency and accuracy. With a BTech in Computer Science from Technocrats Institute of Technology, expertise extends to automating workflows using Azure Data Factory, enabling faster processing and reduced manual workloads. Dedicated to driving operational excellence, the role emphasizes collaboration and innovation to optimize data engineering and warehousing processes. Let's get connected Krishnakant7567@gmail.com

Experience

2 yrs 7 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 mos

Current Experience

Oracle

Member of Technical Staff

Mar 2026 – Present · 2 mos · Bengaluru, Karnataka, India · On-site

Data Engineer | Oracle Cloud (OCI, ADW, PySpark)
Designed and worked on end-to-end data pipelines in Oracle Cloud Infrastructure (OCI), handling ingestion, transformation, and analytics workflows.
Built data ingestion pipelines using Object Storage (Kiev files) and Horizon feeds, enabling seamless data flow from source systems (CCCP and compute services).
Developed and optimized data processing workflows using CDI (Central Data Integration) on Autonomous Data Warehouse (ADW).
Implemented both SQL-based (PL/SQL) and PySpark-based (OCI Data Flow) pipelines for batch processing (hourly/daily loads).
Worked with Delta Lake architecture for scalable and efficient data transformations in modern data pipelines.
Automated data ingestion and infrastructure setup using Terraform and Shepherd, improving deployment efficiency and consistency.
Built and supported data models and transformations for downstream analytics and reporting.
Enabled business insights by integrating processed data with Oracle Analytics Cloud (OAC) dashboards.
Monitored and optimized pipeline performance, ensuring data reliability, scalability, and cost efficiency.

Data EngineerOracle CloudPySparkSQLData ProcessingData Ingestion+4

Tata consultancy services

5 roles

Databricks Specialist

Aug 2025 – Mar 2026 · 7 mos

Databricks / ETL / Power Automate Developer – Technical Specialist

May 2025 – Aug 2025 · 3 mos

Data Engineer

Promoted

Oct 2023 – May 2025 · 1 yr 7 mos

Domain: Banking, Finance Services and Insurance (BFSI Unit)
● Cloud-Based Data Engineering in Agile Environment: Developed and optimized ETL/ELT Workflows/pipelines on Azure Data Factory and Azure Databricks, processing large-scale structured and
unstructured data applications from scratch within a 5-7 stages process for the Actuarial/Accounting/Tax Team
● Database Management & Query Optimization: Leveraged SQL, NoSQL (MongoDB), and Data Warehousing
techniques to store and analyze complex datasets efficiently.
● Data Transformation Efficiency: Created automated scripts in Databricks using Python and PySpark, enhancing transformation speed by 30-40% and achieving highly accurate analytics.
● Data Pipelines & Governance: Built scalable data pipelines integrating Microsoft Azure Data Services,
improving real-time analytics and decision-making processes.
● Performance Optimization: Employed advanced data structures and algorithms to boost data processing speed; reduced ETL tasks by 25% through automation in Azure Data Factory.
● Power Platform Integration: Designed PowerApps and Power Automate workflows, reducing manual data
processing time by 50+ hours monthly.(Built more than 30+ flows)
● Configurable APIs for Real-Time Data Access: Built and integrated APIs in PowerApps, Power Automate,
and Logic Apps, reducing production support dependency and providing on-demand data access..
● Handled DevOps/Agile operations such as CI/CD processes and deployment during production & SIT deployment..
● Responsible for validating data sources, extracting data with respect to Transformation logic and loading the
data in the target tables with End- to-End data flow test.
Environment & Skills Used: Azure Data factory, Azure Data Lake
Storage,,Azure Databricks,Power BI, Power Platform – Power Apps, Power Automate, Version Control – GIT, Data
Warehousing, ETL process optimization

Azure Data FactoryAzure DatabricksSQLPythonPower PlatformData Engineering+1

System Engineer

Aug 2023 – Sep 2023 · 1 mo

Full-stack Developer

Feb 2023 – May 2023 · 3 mos · Bengaluru, Karnataka, India · Remote

CodeGreen Team Green Environment.
Python | Django | Bootstrap | Html (with Jinja template) | CSS | Javascript | MySQL |jQuery | Code Carbon library with Google charts
We used Git and Bitbucket for code version control and code DevOps. This allowed me to
efficiently manage the development process, track changes, and collaborate with team members.
Additionally, in both projects, we leveraged the services of Microsoft Azure for various functionalities. We
utilized Azure Virtual Machines to deploy and host our applications, ensuring reliable and scalable
infrastructure. Azure's database services were also utilized, enabling efficient storage and retrieval of data.
Overall, the combination of Git and Bitbucket for version control and code DevOps, along with Microsoft
Azure's services for hosting and database management, contributed to the successful development and
deployment of the projects.