Sagar Bisen

Software Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience

Key Highlights

Expert in building scalable data solutions.
Proficient in full stack development with Java and React.
Strong background in data analytics and visualization.

Stackforce AI infers this person is a Data Engineering and Full Stack Development specialist in the SaaS industry.

Contact

Skills

Core Skills

Data EngineeringBig Data ProcessingFull Stack DevelopmentJava DevelopmentData AnalysisBusiness Intelligence

Other Skills

AWSAWS EMRAdobe PhotoshopAmazon Elastic MapReduce (EMR)Azure DatabricksBigQueryCascading Style Sheets (CSS)DockerEnterprise Resource Planning (ERP)ExcelFigmaGitHibernateJIRAJava

About

🚀 Java Enthusiast & Data Engineering Specialist 💻 🔧 Technical Proficiencies: Programming Languages: JavaScript, Java, Python, SQL, HTML5, CSS3. Database Management: MySQL, Oracle, MSSQL, PostgreSQL, DynamoDB. Cloud & Big Data Technologies: AWS (S3, Lambda, EMR, DynamoDB, RDS, Redshift, Athena, Glue, IAM), Apache Spark, PySpark. Data Pipelines & ETL: AWS Data Pipeline, Apache Kafka, Snowflake. Visualization Tools: Power BI, Tableau, AWS QuickSight. Development Environments: Eclipse, VSCode. Office Tools: MS Excel, Word, PowerPoint, Google Sheets. 🎓 Certifications: Google Data Analytics. AWS Certified Data Analytics – Specialty. Internshala Web Development Training. 💡 Key Skills: Data Engineering | Big Data Processing | Cloud Computing | JavaScript | SQL | AWS S3 | AWS Lambda | AWS EMR | Power BI | Tableau | PySpark | Apache Kafka | Microsoft Office 🌟 Passionate about building scalable data solutions and optimizing workflows with cloud-based technologies and big data tools. Equipped with hands-on expertise in AWS and data analytics, I am driven to create impactful data solutions.

Experience

4 yrs 11 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 1 mo

Current Experience

Ahana systems and solutions pvt. ltd.

Associate Software Engineer

Apr 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Data Extraction: Retrieve data from SQL databases, APIs, or cloud services using Python (libraries: Pandas, SQLAlchemy).
Data Processing: Use PySpark on AWS EMR for large-scale data transformations and cleaning.
Data Warehousing: Integrate and store data in cloud-based warehouses like AWS Redshift or Snowflake.
Reporting: Use Power BI to create and maintain dashboards, showcasing metrics and insights.
Data Validation: Ensure data integrity by implementing quality checks in PySpark or SQL.
Performance Optimization: Tune PySpark jobs, SQL queries, and workflows for better efficiency.
Collaboration: Share updates and insights with teams using Power BI reports and Jupyter notebooks.
Documentation: Maintain pipeline workflows and code documentation.
Learning: Stay updated on PySpark, AWS EMR, and Power BI features.

PythonSQLPySparkAWS EMRPower BIData Engineering+1

Kodnest

Full Stack Developer

Jun 2023 – Dec 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

🚀 Java Full Stack Developer | Building Scalable & Efficient Web Applications
As a Java Full Stack Developer, I was specialized in designing and developing end-to-end web applications using modern technologies. With expertise in both frontend and backend development, I create seamless, scalable, and high-performance applications.
💻 Backend: Java, Spring Boot, Hibernate, Microservices, REST APIs
🎨 Frontend: React, HTML, CSS, JavaScript
🗄️ Database: MySQL, PostgreSQL, MongoDB
☁️ Cloud & DevOps: AWS, Docker
🔍 Tools & Version Control: Git, JIRA
I am passionate about developing clean, maintainable code, optimizing system performance, and leveraging cloud solutions to enhance application scalability. I thrive in agile environments and love solving complex problems with innovative solutions.

JavaSpring BootReactAWSDockerFull Stack Development+1

Passary minerals ltd - india

Data Analyst

Aug 2020 – Jun 2023 · 2 yrs 10 mos · Korba, Chhattisgarh, India · On-site

Data Extraction: Retrieve data from ERP systems Microsoft Dynamics.
Excel Processing: Clean, organize, and merge data using formulas, pivot tables, and conditional formatting for analysis.
Power BI Development: Connect Power BI to ERP or Excel, design dashboards, and update key metrics.
Ad-Hoc Analysis: Use Excel functions (VLOOKUP, Power Query) for trend analysis and quick decision-making with charts.
Data Validation: Ensure accuracy by comparing Excel data with ERP reports and fixing discrepancies.
Power BI Modeling: Optimize data models, create table relationships, and write DAX formulas.
ERP Reconciliation: Align ERP data with external reports and resolve inconsistencies.
KPI Tracking: Monitor and share KPIs via Power BI dashboards with stakeholders.
Collaboration: Share reports, gather feedback, and refine dashboards.
Documentation: Update workflows, SOPs, and process details.