About Me:With over 3.5years of hands-on experience in data engineering, I excel in designing, implementing large data and high volume ETL pipelines and real-time frameworks to empower businesses in making informed decisions swiftly. My expertise spans a wide range of technologies, including Kafka, Spark, SparkSQL, and Spark Structured Streaming, coupled with proficiency in Python programming. Beyond individual contributor roles, I have successfully led project deliveries, demonstrating strong leadership skills and a knack for driving projects to successful outcomes.Technologies Proficient In:Big Data Technologies: Kafka, Apache Spark (SparkSQL, Structured Streaming), Databricks, Datamarts, Delta LakeProgramming Languages: Python, PySparkCloud Services: AWS S3, AWS Athena, AWS Glue, Data Modeling: Experience in designing efficient data models to support complex business requirementsStrengths:My greatest strengths lie in my perseverance and analytical mindset, enabling me to tackle challenges head-on and devise accurate and effective solutions. I thrive in dynamic environments where I can leverage my technical expertise to solve complex problems and drive business growth.Key Achievements:Successfully architected and implemented ETL pipelines and real-time frameworks, enabling businesses to extract insights from data quickly and efficiently.Led project deliveries, guiding cross-functional teams and ensuring the successful completion of projects within stipulated timelines and budget constraints.Looking Ahead:I am passionate about leveraging cutting-edge technologies and methodologies to drive innovation in the field of data engineering. I am actively seeking opportunities to collaborate with like-minded professionals and contribute to projects that push the boundaries of what's possible with data.