Sharmila Sankaralingam Email and Phone Number

Designed and implemented scalable pipelines to ingest and process data from diverse sources includingAPIs (MDS, Meteomatics), SQL Server (Advanced Analytics), and Snowflake.Built and optimized ETL workflows using Databricks Workflow Bundles, adhering to MedallionArchitecture (Bronze, Silver, Gold) for efficient data organization and quality assurance.Automated deployment processes using a Python-based framework and ensured CI/CD implementation viaGitHub Actions and Dev Containers.Enforced robust data governance practices using Databricks Unity Catalog, ensuring compliance withorganizational standards.Improved ETL pipeline performance by

Senior Data Engineer – Mars, UKAutomated Cloud-Based Data Pipelines: Led the development of secure data pipelines from SAP toAzure Data Lake, automating transfers to SQL Server with Azure Data Factory and leveragingserverless architectures for scalability and performance.AI-Driven Analytics Integration: Enhanced business decision-making by integrating AI-driventechnologies for automated data processing.Dynamic Dashboards & API Integration: Built real-time Power BI dashboards and implementedseamless API-based ERP integrations.Senior Data Engineer – Centrica, UKSQL2HQL Automation: Designed a Python-based tool to automate SQL-to-HQL query conversion,reducing manual efforts and streamlining migration workflows.Real-Time Streaming Solutions: Developed streaming pipelines using Hadoop, Kafka, AWS Glue, andCloudera, facilitating efficient cloud-based data processing.AI-Optimized Data Preparation: Partnered with data scientists to deliver high-quality datasets formachine learning models, integrating results via APIs for operational use.Data Analyst – AstraZenecaSecure, Serverless Pipelines: Built data ingestion pipelines with AWS HDFS and Lambda, ensuringcompliance with advanced data masking techniques.PTT Analysis: Enhanced business process accuracy through Hive-based PTT calculations and dataanalysis.Splunk/Hadoop Engineer – CapitalOneOptimized Data Migration: Developed migration strategies with Splunk, ensuring high data availabilityand improved system performance through agile practices.Perl Automation Engineer – UBS, SingaporeStreamlined Operations: Automated key processes with Perl, improving efficiency and systemscalability. Provided technical feedback to enhance team performance.

• SLU is a team formed by the bank to improve the Operational efficiency, Process improvement and to make the support service more cost effective.• It mainly involves the Automation of support tasks like Batch/ Autosys Job monitoring, SOD/EOD application health checks, month end processes, Database Checks & Validation, Clarion/HPOV Alert management, Certificate monitoring, Chat monitoring , User request handling, Data reports, Auto escalation, Email monitoring, Web scrapping, Feed checks etc.Technolgies worked: Unix, Shell Script, Perl

Worked as a Developer in Unix ksh, perl and sybase for Various BFS clients in TCS.