About me

- Accomplished professional with 12+ years of experience in designing and deploying cloud-native architectures and big data solutions that enhance decision-making and optimize costs. - Strong focus on creating business impact through technical excellence in cloud platforms (AWS, Azure, GCP), real-time analytics, bigdata pipelines and distributed systems. - Proven track record of leading cross-functional teams, delivering 30% cost savings, improving system performance by 40%, and enabling scalable, high available, secure, and compliant architectures. Technology Skills - Expertise in Big Data Frameworks: Apache Spark, Kafka, Hadoop, Flink, Databricks. Proficient in Cloud Platforms: AWS (S3, EMR, Lambda, RDS, DynamoDB), Azure (Data Factory, Synapse, CosmosDB, Databricks) and GCP (Bigquery, Dataproc, Datastore) - Skilled in Programming Languages: Scala, Python, Java, SQL. - Proficient in Database Technologies: Cassandra, DynamoDB, CosmosDB, MongoDB, Teradata, Oracle, Redshift. - Strong knowledge of Data Warehousing and Lakehouse concepts: Delta Lake, ETL Pipelines, Data Mesh. Leadership Skills - Led multiple engineering teams with a focus on mentoring, performance optimization, and Agile practices, reducing turnaround times by 25%. - Delivered measurable business outcomes by aligning architecture decisions with strategic goals, achieving 100% SLA compliance. - Trusted advisor to C-suite executives, bridging technical solutions with business strategies to ensure regulatory compliance (CCPA, GDPR) and performance excellence. Strategic Metrics - Improved Spark ETL pipeline processing time by 40%, reducing operational overhead. - Designed DaaS solutions, achieving 30% cost reduction and handling 1.5 exabytes of data. - Enhanced API performance by 35%, ensuring 99.99% uptime for high-availability systems.