Welcome to the professional journey of Anandaganesh Balakrishnan, a seasoned Principal Software Engineer specializing in Data Engineering. With a wealth of technical skills and a proven track record, Anandaganesh is a driving force in shaping data strategies and frameworks for organizations.
Technical Proficiency:
Anandaganesh brings proficiency in a range of cutting-edge technologies, including AWS, Sqoop, Hive, Pyspark, Kafka, Hadoop, Snowflake, Oracle 12c, HBase, Druid, SQL Server, Python, Oracle PL/SQL, and UNIX Scripting. His expertise extends to tools such as Denodo, DBT, Fivetran, Prefect, Docker, Tableau, Tidal, TOAD, and Preset.
Professional Experience:
Currently serving as the Principal Software Engineer, Data Engineering at American Water, New Jersey, USA, Anandaganesh is at the forefront of leadership and data strategy. His role involves crafting visionary data strategies, providing guidance to developers, database experts, and data scientists, ensuring alignment with data initiatives. He plays a pivotal role in maintaining consistent and optimal data delivery architecture across ongoing projects.
Key Achievements:
Anandaganesh has spearheaded Data Virtualization initiatives, creating a robust data virtualization layer for data platforms. This groundbreaking effort is projected to slash ETL development costs by 50%, showcasing his commitment to efficiency and innovation. His contributions also include optimizing and redesigning the organization’s data architecture to support the next generation of tools.
Why Anandaganesh Balakrishnan?
With a proven ability to translate vision into strategy and strategy into results, Anandaganesh is a catalyst for positive change in the data engineering landscape. His technical prowess, coupled with leadership acumen, positions him as a valuable asset for any organization aiming to harness the power of data effectively.
Connect with Anandaganesh:
Explore the transformative journey of Anandaganesh Balakrishnan on LinkedIn and GitHub, where he continues to share insights and contribute to the ever-evolving field of data engineering.