B V Sailendra Suda
United Kingdom
Summary
Accomplished data engineer with expertise in Databricks solutions, Azure Synapse Analytics, and Data Lake solutions. Proficient in database services, including SQL Server T-SQL and Oracle PL/SQL, with a strong background in database management and programming. Skilled in developing stored procedures and triggers, data warehousing and processing, as well as data modelling. Demonstrates excellence in data cleansing and analysis, business intelligence, and Power BI tools. Experienced in Logic Apps integration, Intapp integration, and DevOps practices using various DevOps tools. Committed to leveraging technical skills to drive innovative data solutions that enhance business performance.
Overview
1
1
Certification
14
14
years of professional experience
Work history
Senior Azure Data Engineer
Mishcon de Reya
London
2022.09 - 2026.08
- Designed and drove the modernisation of legacy SQL Server and SSIS-based data integration solutions, delivering cloud-native Azure data platforms that improved scalability, maintainability, and operational efficiency.
- Designed and implemented an enterprise Master Data Management (MDM) platform using Profisee, creating trusted golden records by integrating employee and organisational data from SAP SuccessFactors, Aderant, Active Directory, Intapp, and other enterprise systems.
- Designed and delivered scalable data ingestion, transformation, and integration frameworks to consolidate data from enterprise applications into a central Azure data platform, enabling enterprise reporting, analytics, and business intelligence.
- Developed automated data pipelines to ingest, transform, validate, and distribute mastered data across multiple downstream enterprise applications, improving data consistency and reducing manual processing.
- Designed and delivered enterprise integrations between Intapp Open and business-critical applications, supporting client intake, conflicts management, matter lifecycle processes, and workflow automation within a legal-sector environment.
- Designed and implemented integrations to automate document and invoice processing by integrating Outlook, file repositories, Microsoft Graph API, SharePoint, and iManage document management solutions.
- Developed enterprise integration solutions using REST APIs, Azure Logic Apps, and Azure Functions to automate data exchange between internal applications and third-party platforms.
- Contributed to the implementation of event-driven integration solutions using Azure Service Bus, Logic Apps, and Azure Functions to enable near real-time synchronisation of mastered data across enterprise systems.
- Designed and implemented cloud data ingestion frameworks to consolidate data from multiple enterprise systems into Azure Data Lake Storage Gen2, supporting enterprise reporting and analytics workloads.
- Contributing to the organisation’s migration towards Microsoft Fabric by supporting the adoption of Fabric Data Factory, Lakehouse, and Data Engineering capabilities as part of the future-state enterprise analytics platform.
- Collaborated with solution architects, business stakeholders, and cross-functional teams to define solution architecture, produce technical designs, estimate delivery effort, and successfully deliver enterprise data and integration initiatives.
- Produced and maintained comprehensive technical documentation, including High-Level Designs (HLD), Low-Level Designs (LLD), Source-to-Target Mapping (STTM), data flow specifications, deployment guides, and operational runbooks to support knowledge transfer and long-term platform support.
- Managed end-to-end solution delivery activities across the SDLC, including requirements analysis, design, development, unit testing, SIT/UAT testing, deployment, production support, and technical issue resolution.
- Technologies: Microsoft Azure, Azure Data Factory, Azure Synapse Analytics, Azure Synapse Pipelines, Synapse Notebooks, Microsoft Fabric, Azure Data Lake Storage Gen2 (ADLS Gen2), Azure SQL Database, PySpark, Python, SQL, Delta Lake, Azure Service Bus, Azure Logic Apps, Azure Functions, Microsoft Graph API, REST APIs, Profisee MDM, Intapp Open, Intapp Integration Builder (IB).
- Enterprise Systems Integrated: SAP SuccessFactors, Aderant, Active Directory (Azure AD), SharePoint, iManage, HubSpot, Adobe LMS, Everbridge, MoneyPenny, Reed McKay, Manhattan, ClearView.
Senior Data Engineer / Technical Lead
Deloitte USI
Hyderabad
2017.11 - 2022.09
- Delivered enterprise-scale data engineering, data warehousing, analytics, and cloud modernisation solutions for global clients across manufacturing, insurance, and industrial sectors. Worked across multiple consulting engagements, partnering with architects, business stakeholders, and engineering teams to design and deliver scalable data platforms while providing technical leadership and mentoring engineers.
- Client: Ball Corporation
- Led the technical delivery of enterprise Azure data engineering solutions, mentoring a team of five engineers and ensuring successful delivery of scalable data platforms.
- Architected and delivered modern Lakehouse solutions using Azure Databricks, Apache Spark, PySpark, and Delta Lake to support enterprise analytics, reporting, and downstream data consumption.
- Designed and implemented enterprise data ingestion and transformation frameworks to process large volumes of structured and semi-structured data from multiple business sources.
- Developed scalable batch and near real-time data processing solutions using PySpark, Auto Loader, and Structured Streaming, improving data availability and processing reliability.
- Implemented Delta Lake solutions using Delta Tables, applying ACID transactions, schema enforcement, schema evolution, and data versioning to improve data reliability and consistency.
- Optimised Spark workloads through partitioning, caching, broadcast joins, and Spark configuration tuning to improve performance and resource utilisation.
- Integrated Azure Databricks workloads with Azure Data Factory and Azure Data Lake Storage Gen2 to orchestrate automated end-to-end ETL/ELT workflows.
- Designed and implemented data quality, reconciliation, and validation frameworks to ensure accuracy, completeness, and consistency of enterprise datasets.
- Collaborated with architects, business stakeholders, and technical teams to define solution designs and deliver scalable data engineering solutions aligned with business requirements.
- Produced technical documentation including High-Level Designs (HLD), Low-Level Designs (LLD), Source-to-Target Mapping (STTM), data flow diagrams, and test documentation.
- Managed end-to-end SDLC activities including requirements analysis, solution design, development, unit testing, SIT/UAT testing, deployment, production support, and root cause analysis.
- Technologies: Azure Databricks, Apache Spark, PySpark, Delta Lake, Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Data Factory, SQL Server, T-SQL, SSIS, SSAS, Power BI, Qlik Replicate.
Hiscox
2019.06 - 2021.03
- Delivered enterprise data warehouse and business intelligence solutions supporting reporting, analytics, and operational decision-making.
- Designed and developed Azure Data Factory pipelines and SSIS solutions to automate enterprise data integration and ETL workflows.
- Developed SQL-based data transformations, stored procedures, and data validation frameworks to improve data quality and reliability.
- Designed and enhanced reporting solutions using Power BI and enterprise BI technologies to support business requirements.
- Collaborated with business stakeholders and technical teams throughout the SDLC, including requirements analysis, solution design, development, testing, deployment, and production support.
- Technologies: Azure Data Factory, Azure SQL Database, Azure Logic Apps, SSIS, Power BI, DAX, T-SQL.
Invista
2017.11 - 2019.06
- Designed and developed enterprise business intelligence and reporting solutions using SQL Server, SSAS, and Power BI to support operational and strategic decision-making.
- Developed and optimised SQL-based ETL processes, stored procedures, and data models to improve performance and reporting efficiency.
- Built SSAS Tabular and Multidimensional analytical models to support enterprise reporting and analytics.
- Enhanced Power BI reports and dashboards to deliver actionable business insights.
- Participated in the complete software development lifecycle, including requirements analysis, solution design, development, testing, deployment, and production support.
- Technologies: SQL Server, SAP S/4HANA, Power BI, SSIS, SSAS Tabular, SSAS Multidimensional, T-SQL.
ETL / SQL / MSBI Developer
CGI
Chennai
2015.08 - 2017.11
- Client: Shell H3 – Fleet Card
- Designed, developed, and maintained enterprise ETL solutions using SQL Server Integration Services (SSIS) to support data integration and transformation requirements.
- Developed and optimised complex T-SQL stored procedures, functions, and database objects to improve data processing performance and reliability.
- Designed, enhanced, and supported SSRS reports and SSAS cube solutions to meet business reporting and analytical requirements.
- Participated in the complete software development lifecycle, including requirements analysis, solution design, technical documentation, development, unit testing, SIT, UAT support, deployment, and production support.
- Automated ETL processes using SQL Server Agent scheduling and PowerShell scripting to improve operational efficiency.
- Supported production data loads, incident resolution, defect management, and continuous improvement activities.
- Technologies: SQL Server 2008 R2/2012, T-SQL, SSIS, SSRS, SSAS, Visual Studio, PowerShell.
ETL / SQL / MSBI Developer
Mphasis (An HP Company)
Chennai
2012.12 - 2015.08
- Clients: Shell H3 – Fleet Card & Avis Car Rental
- Developed and maintained enterprise ETL solutions using SSIS to support data integration, transformation, and reporting requirements.
- Designed and enhanced SSRS reports and supported SSAS analytical models for business and operational reporting.
- Supported end-to-end ETL operations, including data loading, cube processing, production support, and incident resolution.
- Validated and processed third-party source files to ensure data quality and integrity.
- Managed database support activities including backup, restore, and operational maintenance.
- Supported the complete delivery lifecycle, including requirements analysis, development, testing, deployment, production support, and defect resolution.
- Technologies: SQL Server 2008 R2/2012, T-SQL, SSIS, SSRS, SSAS, Visual Studio.
Education
Bachelor of Engineering - Electronics and Communication
SASTRA University
IndiaSkills
- Data engineering
- Databricks solutions
- Azure Synapse Analytics
- Data Lake solutions
- Database services
- SQL Server T-SQL and Oracle PL/SQL
- Database management and programming
- Stored procedures and triggers
- Data warehousing and processing
- Data modelling
- Data cleansing and analysis
- Business intelligence
- Power BI tools
- Logic Apps integration
- Intapp integration
- DevOps practices
- DevOps tools
Certification
DP 700: Microsoft Certified: Fabric Data Engineer Associate
Timeline
Senior Azure Data Engineer
Mishcon de Reya
2022.09 - 2026.08
Hiscox
2019.06 - 2021.03
Senior Data Engineer / Technical Lead
Deloitte USI
2017.11 - 2022.09
Invista
2017.11 - 2019.06
ETL / SQL / MSBI Developer
CGI
2015.08 - 2017.11
ETL / SQL / MSBI Developer
Mphasis (An HP Company)
2012.12 - 2015.08
Bachelor of Engineering - Electronics and Communication
SASTRA University