Monita B — Data Engineer

As a Senior Data Engineer, I specialize in designing and building scalable enterprise data platforms using technologies such as Apache Spark, Kafka, Databricks, Delta Lake, Flink, and Hadoop across AWS, Azure, and GCP environments. My expertise includes developing high-performance ETL/ELT pipelines, implementing real-time and batch data processing systems, and building lakehouse architectures using Snowflake, Redshift, BigQuery, and Azure Synapse along with NoSQL and RDBMS systems like DynamoDB, MongoDB, Cassandra, Cosmos DB, Oracle, and SQL Server. I have strong experience working with SQL, Python, PySpark, and modern orchestration frameworks like Airflow and Control-M, along with implementing data quality, governance, CI/CD pipelines, and Infrastructure as Code to deliver reliable and production-grade data solutions. I am also proficient in data visualization with Tableau, Power BI and QuickSight. Currently, I am working with Morgan Stanley, where I’ve contributed to fraud detection, risk analytics, and transaction monitoring systems, working with high-throughput streaming data and compliance frameworks such as AML, KYC, PCI-DSS, along with financial messaging standards like FIX and SWIFT. My focus is on improving data reliability, optimizing data flows, and enabling systems that help teams monitor risks, detect anomalies, and meet regulatory requirements, while collaborating closely with cross-functional teams to align with business goals. Previously, I have delivered enterprise data solutions for organizations such as Humana, AT&T, Target, and Flipkart, working across healthcare, telecom, and retail domains. Across my experience, I handled sensitive, regulated data using standards like HL7, FHIR, and HIPAA, ensuring secure, compliant, and high-quality data systems that support real-world healthcare operations. From healthcare supply chains to financial risk systems and retail analytics, I’ve worked on platforms where performance, accuracy, and reliability aren’t optional, they’re business-critical. I am passionate about building resilient, scalable, and future-ready data platforms that bridge business needs with technical solutions. I enjoy collaborating with data scientists, analysts, and stakeholders to deliver impactful data-driven insights while focusing on performance optimization, automation, and governance.

Stackforce AI infers this person is a Data Engineering expert in Fintech and Healthcare sectors.

Experience: 1 yr 4 mos