Databricks Certified Directory

Passionate about turning large-scale data into actionable insights, I’m a Senior Data Engineer architecting cloud-native solutions across Databricks, Spark, and Snowflake. From building real-time streaming platforms to modernizing data warehouses on the cloud, I bring both technical depth and business alignment. I thrive in roles that combine data engineering with cross-functional collaboration to unlock smarter decisions.

Certified Databricks Generative AI Engineer with over 6 years of experience in data science, machine learning, and NLP. Proven expertise in building scalable AI solutions using Python, cloud platforms. Skilled in developing LLM-powered applications, RAG pipelines, and deploying models in production. Passionate about leveraging generative AI to solve real-world problems and drive innovation.

As a Data Architect with over 12 years of experience, I specialize in delivering end-to-end Data Engineering, Data Strategy, and Data Analytics solutions that drive business growth and operational efficiency. I have a proven track record of designing scalable data platforms, including Data Warehouses, Data Lakes, and ETL pipelines, with a strong focus on cloud technologies such as Azure. My career spans leadership roles at industry giants like Amex and Capgemini, where I honed my expertise in data modeling, data validation, and data visualization using tools like Power BI, PySpark, SQL, Python, and SAS. I’m adept at leveraging these technologies to provide actionable insights, develop interactive visualizations, and deliver business intelligence solutions that align with organizational goals. I excel in streamlining data governance processes, ensuring the highest data quality, and implementing CI/CD pipelines for seamless deployment, primarily through Jenkins. My experience in building and maintaining complex data ecosystems has consistently driven innovation and cost-effective solutions for diverse business needs. From transforming raw data into actionable insights to helping C-suite executives make informed decisions, I bring strategic, data-driven solutions to the table. I thrive in high-impact environments and am passionate about democratizing data to enable teams to make data-informed decisions at scale.

Dynamic, goal-oriented, challenge-seeking Data Engineer with strong expertise in Databricks, Data pipeline design and development. Previous experience in Meter Data Management System (MDMS) and Smart Grid with AMI system for Utilities & DISCOMS sector.

- Experienced Data Engineer with expertise in managing and optimizing large-scale data infrastructure. - Skilled in a wide range of technologies including: 🎯Big Data frameworks such as Hadoop, Spark, Scala, Hive, and Sqoop. 🎯Cloud-based platforms like Azure Data Factory and Databricks. - Specializes in designing and implementing robust data pipelines. - Proficient in leveraging cutting-edge tools and technologies for ETL processes. - Strong SQL querying skills with a keen eye for detail. - Passionate about delivering high-quality solutions to complex data challenges.

Senior Data Engineer with over 14 years of experience in designing, developing, and optimizing high-performance data architectures and scalable pipelines. Adept at transforming complex data requirements into scalable solutions that support analytics, reporting, and business intelligence needs. Proven expertise in expertise in healthcare data engineering, managing diverse technical teams, streamlining data migrations, and optimizing cloud-based solutions to enhance client outcomes and operational efficiency. Demonstrated proficiency in designing data architecture, implementing data quality frameworks, and mentoring. Certified Azure Data Engineer and Master's student in Artificial Intelligence.

Data engineer with 12+ years of experience in pipeline development and data modeling, both in cloud-based and on-prem environments. • Deep knowledge of SQL, PySpark, Databricks, Airflow, Azure and GCP. • Proven practical experience with optimization techniques for data extraction, transformation, and loading. • Solid problem-solving skills with a methodical approach. Good stress-resistance skills. • Proven record of success in data migration projects. • Certified Microsoft Azure Data Engineer and Databricks Data Engineer. • Key business domains: hospitality, retail, insurance, finance.

Life-long learner, teacher, leader, pivoter, and builder. Check my linked-in for up-to-date details. Expert in Data Engineering, Systems Architecture, Software Engineering, Spark, Databricks, and multiple languages including Java, Scala, and Python. I can build you a data lakehouse myself or scale a team of experts to do it for you, then tell you the business insights you need before you ask for them.