Rajesh kumar — Data Engineer

Professional Summary: I am a versatile technology professional with expertise in designing and managing cloud infrastructures, AWS EC2 instance environments, data pipelines, and automation systems. My role encompasses developing serverless solutions on AWS, building robust ETL pipelines, automating repetitive tasks through RPA, and creating secure APIs. I also focus on continuous process improvement, quality assurance, and effective collaboration to support business growth and innovation. Currently, we are introducing Elasticsearch to enhance data handling and management. Key Responsibilities: AWS Cloud & Serverless Solutions: Design, deploy, and manage AWS Lambda functions alongside related services such as S3, Secrets Manager, and CloudWatch. Implement Infrastructure as Code (IaC) using tools like CloudFormation to automate the deployment process, while managing AWS EC2 instances and Windows servers for deploying scripts. Ensure optimal performance, scalability, and security across cloud infrastructures. Data Engineering & Pipeline Development: Build and maintain robust ETL pipelines using Apache Airflow to facilitate the extraction, transformation, and loading of data from diverse sources. Ensure data quality through real-time validations and comprehensive error-handling mechanisms, supporting accurate reporting and analytics. RPA Automation & Scripting: Develop automation scripts using Selenium and Python to handle tasks such as API crawling and collecting large CSV data sets, streamlining digital campaign management and data synchronization. Integrate robust error handling and automated testing to maintain high process reliability and minimize downtime. Project Development & Redevelopment: Lead new project initiatives while overseeing the iterative redevelopment of legacy systems to incorporate new features and optimize performance. Collaborate effectively with cross-functional teams using agile methodologies to drive innovation and improve overall efficiency. API Development & Integration: Design and develop secure, scalable APIs that facilitate efficient communication between front-end applications and back-end systems, ensuring seamless data exchange. Collaboration, Quality Assurance & Documentation: Mentor team members, conduct regular code reviews, and facilitate technical workshops to promote continuous learning and adherence to best practices. Monitor systems proactively using tools such as AWS CloudWatch, while maintaining detailed documentation to ensure transparency and support continuous improvement. Elasticsearch Integration:

Stackforce AI infers this person is a Data Engineer specializing in cloud solutions and data automation for digital marketing.

Location: Noida, Uttar Pradesh, India

Experience: 7 yrs 2 mos