Jalaja Manjunath — Data Engineer

🔹 Turning Data into Decisions | Engineering Insights from Raw Information 🔹 From backend development to data engineering and analytics, my journey has been about transforming data into powerful insights. With 2.8 years of IT experience, I’ve worked on data processing, automation, and visualization, helping businesses make smarter decisions with clean, structured, and actionable data. Currently pursuing my Master’s in Communication Systems & Networks at TH Köln, I’m passionate about leveraging data engineering, AI, LLMs and automation to build future-ready solutions. 💡 My Beliefs 🌍 Technology is Smart, But Humans Make it Smarter 🧩 Complexity is Just a Perspective 🚀 Be the Change, Lead the Change 💡 What I Bring to the Table: 🚀 Data Engineering & Automation – Designing efficient ETL processes and ensuring seamless data pipelines. 📊 Analytics & Visualization – Creating interactive Power BI dashboards that bring data to life. 🐍 Python & SQL Mastery – Writing clean, optimized code to extract, process, and analyze data. ☁️ Big Data & Cloud Technologies – Working with Azure Data Factory, Databricks, and PySpark to process and manage large datasets. 🔍 Problem-Solving & Optimization – Identifying bottlenecks and improving processes for better performance. 💡Tech Skills 🖥️ Programming Languages: Python | PySpark | Java 📊 Data Engineering & Analytics: SQL | Databricks | CI/CD | Azure Data Factory | Delta Lake | Azure Synapse 📈 Business Intelligence: Power BI | MS Excel 🔧 Version Control: Git 📧 Office Tools: PowerPoint | Word | Outlook ⚙️ Frameworks: Spring Boot 🌱 What I’m Learning & Exploring: ✅ MLOps in Databricks – Automating machine learning workflows for scalable AI solutions. ✅ AI-Driven Automation – Enhancing decision-making with intelligent automation. ✅ Experimenting with LLMs – Exploring the potential of large language models in data and analytics. 🔗 Let’s Connect! Always excited to collaborate, innovate, and explore how data can drive smarter, faster, and better decisions!

Stackforce AI infers this person is a Data Engineer with expertise in Business Intelligence and Automation in the SaaS industry.

Location: Cologne, North Rhine-Westphalia, Germany

Experience: 2 yrs 6 mos

Skills

Data Engineering
Business Intelligence

Career Highlights

Expert in data engineering and analytics.
Proven track record in developing BI solutions.
Strong background in automation and ETL processes.

Work Experience

Uniper

Business Intelligence Engineer (1 yr 1 mo)

Tata Consultancy Services

Data Engineer | Systems Engineer (2 yrs 7 mos)

Engineering Trainee (3 mos)

Education

Master's degree at Cologne University of Applied Sciences

Bachelor of Engineering - BE at Dr. Ambedkar Institute Of Technology

Pre University at VVS Sardar Patel PU College

Jalaja Manjunath

Data Engineer

Cologne, North Rhine-Westphalia, Germany2 yrs 6 mos experience

Highly Stable

Key Highlights

Expert in data engineering and analytics.
Proven track record in developing BI solutions.
Strong background in automation and ETL processes.

Stackforce AI infers this person is a Data Engineer with expertise in Business Intelligence and Automation in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringBusiness Intelligence

Other Skills

SnowflakeSQLData ArchitectureOracle SQL DeveloperPower BIETLCI/CDData VisualizationAutomationPresentation SkillsData AnalysisData ModelingMySQLMicrosoft ExcelPresentations

About

Experience

2 yrs 6 mos

Total Experience

2 yrs 6 mos

Average Tenure

Current Experience

Uniper

Business Intelligence Engineer

May 2025 – Present · 1 yr 1 mo · Düsseldorf, North Rhine-Westphalia, Germany · On-site

SnowflakeSQLData EngineeringBusiness Intelligence

Tata consultancy services

2 roles

Data Engineer | Systems Engineer

Aug 2021 – Mar 2024 · 2 yrs 7 mos · Bengaluru, Karnataka, India

Objective:
To design and deliver optimized data solutions, enhance software reliability through testing, and provide actionable insights using business intelligence tools.
Scope:
Focused on database management, data analysis, and software testing for client systems.
Led initiatives in automation, visualization, and Agile-based project delivery.
Responsibilities:
1. Developed interactive Power BI dashboards for real-time data visualization, aiding decision-making for cross-functional teams.
2. Gained hands-on experience with ETL pipelines, data modeling, and big data technologies.
3. Worked in building CI/CD pipelines, including end-to-end testing, debugging, and defect resolution, ensuring smooth automation and deployment processes.
4. Streamlined task management processes by developing and maintaining Kanban boards for tracking and prioritizing tasks.
5. Collaborated with Agile teams to implement technical solutions, delivering 10+ projects within deadlines.
Achievements:
1. Achieved a 30% improvement in database performance by optimizing queries and schemas.
2. Enhanced team collaboration and workflow efficiency by introducing task management practices using Kanban boards.
3. Recognized with Star of the Quarter for technical expertise and timely project delivery.

Data ArchitectureOracle SQL DeveloperPower BIETLCI/CDData Engineering+1

Engineering Trainee

Aug 2021 – Nov 2021 · 3 mos · Bengaluru, Karnataka, India

Objective: Completed a comprehensive training program as a Trainee Software Developer, focusing on Python application development, to gain hands-on experience and deepen my understanding of software development practices.
Scope: Supported backend development and data management tasks, working alongside senior engineers to ensure the successful delivery of technical solutions.
Responsibilities:
1. Supported database optimization projects by assisting in schema design and indexing to enhance query performance.
2. Conducted data cleaning and preprocessing tasks to streamline workflows for integration with business intelligence tools.
3. Designed and implemented SQL queries for analyzing operational datasets and generating insights.
4. Collaborated with the team to understand and deliver solutions aligned with client requirements.
5. Participated in internal training sessions on Agile methodologies and coding best practices.
6. Contributed to preparing technical documentation and project reports for team use.
Achievements:
1. Demonstrated proficiency in Python programming by successfully completing individual and team-based coding assignments.
2. Received positive feedback from mentors and trainers for my eagerness to learn and contribute to the team's success.
3. Developed a foundational understanding of Agile practices and implemented them effectively in day-to-day tasks.
4. Earned a certificate of completion for the comprehensive software development training program.