Arjun Satish

Data Engineering Consultant at Reflections Info Systems

Based in Kochi, India

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Seniority

Staff

Department

Information Technology

Location

Kochi

Industry

IT Services and IT Consulting

Company size

394

Contact information

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Email

1 credit

a•••••••@reflectionsglobal.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Arjun Satish

With over years of experience in data engineering and machine learning, I am a seasoned professional dedicated to driving innovation and delivering impactful solutions in the realm of data science. My expertise spans a wide range of programming languages, frameworks, and cloud services, allowing me to tackle complex data challenges and drive business success. Data Engineering & Machine Learning Skills: In data engineering, I excel in Python, SQL, and PySpark, leveraging these languages to develop robust ETL processes, data models, and web applications using frameworks like FastAPI and Flask. My proficiency extends to data processing and analytics using Spark, Kafka, ElasticSearch, and data warehousing tools such as Snowflake, Redshift, and PostgreSQL. In the realm of machine learning, I have a strong command of TensorFlow and PyTorch, enabling me to implement advanced ML and NLP techniques. I specialize in fine-tuning Large Language Models (LLMs) and deploying them on AWS infrastructure, while also leveraging MLOps practices for model evaluation and optimization. Data Visualization & Cloud Services: I have extensive experience in crafting interactive and insightful data visualizations using tools like PowerBI, Tableau, and Superset. Additionally, I am proficient in utilizing AWS services such as EC2, S3, Redshift, Lambda, and Glue to develop scalable data solutions, implement CI/CD practices with Jenkins and AWS CodeBuild/CodeDeploy, and process big data with AWS Glue. Key Competencies: • Proficient in feedback management and data analytics. • Skilled in developing APIs within microservices architecture using Flask, Streamlit and FastAPI. • Experienced in designing robust data pipelines for banking platforms using AWS technologies, Python, Postgres, and PySpark. • Skilled in implementing data lakes with Databricks and AWS. • Proficient in streamlining CI/CD pipelines using AWS Glue ETL. • Strong problem-solving and defect-fixing abilities. • Customer-focused with a sense of ownership, urgency, and drive. • Well-versed in Waterfall and Agile methodologies of project delivery. • Actively involved in research and development, comparing RDMS, ElasticSearch, and Big Data solutions. • Excellent communication skills, always keep the stakeholders updated and informed. Conveying ideas, and solutions clearly and promptly. I am passionate about leveraging cutting-edge technologies to solve complex business challenges and am committed to continuous learning and professional growth in the ever-evolving field of data science.

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