Vishal Jadhav — Data Engineer

I completed M.tech from VIT University, I have Strong knowledge and experience of Big data, Aws Cloud Data Engineering, Machine learning, Python, libraries numpy, scipy, pandas. Data visualization tools like tableau, Excel. As an accomplished Data Engineer with 6 years of experience, I specialize in designing and implementing sophisticated data systems that drive actionable insights and support data-driven decision-making. My expertise spans a broad array of tools, technologies, and methodologies that are essential for managing and optimizing data workflows in today’s dynamic environment. Core Competencies: Data Warehousing & Analytics: Proficient in leveraging managed data warehouse services like AWS Redshift and Google BigQuery to handle large-scale data analysis and storage needs. Workflow Automation: Skilled in using Apache Airflow for orchestrating complex workflows and managing data pipelines with precision and reliability. Modern Data Engineering Practices: Adept at implementing Data Lakehouse architectures to unify data lakes and data warehouses, supporting real-time analytics, and embracing DataOps for agile data management. Event-Driven and Serverless Architectures: Experienced in designing systems with Event-Driven Architecture and Serverless Data Processing, utilizing platforms like AWS and Google Cloud Pub/Sub to build scalable, efficient data solutions. Programming & Data Management: Expertise in PySpark for distributed data processing and PL/SQL for advanced database management. Proven ability to ensure Data Quality Management and handle Schema Evolution effectively. Emerging Trends & Technologies: Passionate about integrating Artificial Intelligence (AI) and Machine Learning Operations (MLOps) into data workflows, while ensuring compliance with Data Privacy regulations such as GDPR. Achievements & Impact: Led the development of a high-performance data extraction system using serverless architectures and event-driven design, significantly improving processing efficiency and reducing costs. Successfully managed end-to-end data pipeline orchestration, optimizing workflows and data integration to deliver timely insights and support strategic decision-making. I am committed to pushing the boundaries of data engineering by continually exploring new technologies and methodologies. My goal is to leverage my skills to build innovative data solutions that address complex challenges and drive business success.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and cloud-based data solutions.

Location: Bengaluru, Karnataka, India

Experience: 8 yrs 4 mos