Kedar Shiral — Data Engineer

As a dynamic Data Engineer, I excel in harnessing cutting-edge technologies to transform raw data into actionable insights. My expertise spans Big Data, SQL, Data Warehousing, AWS, Azure Databricks, Kafka, Apache Airflow, Hive, Snowflake, and Python scripting. Key Expertise: 🚀 Big Data Solutions: Expert in architecting and implementing scalable Big Data solutions for optimal performance and data-driven decision-making. 🔍 SQL Mastery: Proficient in crafting intricate SQL queries and optimizing database performance for structured and unstructured data analysis. 🏗️ Data Warehousing: Experienced in designing and implementing data warehousing solutions for efficient storage, retrieval, and analysis. ☁️ Cloud Technologies: Skilled in deploying and managing data infrastructure on AWS and Azure Databricks. 🔄 Data Integration: Expert in building robust ETL pipelines with Kafka and Apache Airflow for seamless data flow and integration. 🐍 Python Scripting: Strong scripting capabilities in Python for efficient data processing and automation. 📊 Data Analytics: Familiar with tools like Hive for creating analytical solutions and actionable insights. Philosophy: I am dedicated to tackling complex challenges, contributing to the evolving landscape of data engineering, and fostering a data-centric culture. Let's Connect: Passionate about connecting with professionals who share an interest in data-driven decision-making and cutting-edge technologies. Open to collaborations and eager to contribute to the vibrant data community.

Stackforce AI infers this person is a Data Engineer specializing in Big Data and Cloud Technologies.

Location: Pune, Maharashtra, India

Experience: 4 yrs 6 mos