Manish Golanakonda

Results-driven Senior Data Engineer with 6+ years of experience in designing, developing, enhancing, and supporting enterprise-scale data platforms, data warehouses, and cloud-based analytics solutions across Real Estate, CRM, and Oil & Gas domains. Strong expertise in building end-to-end batch and incremental ETL/ELT pipelines using PySpark, Python, SQL, Azure Data Factory, Azure Databricks, ADLS Gen2, and related Azure services. Experienced in data pipeline development, production support, platform maintenance, root cause analysis, hotfix implementation, incident management, and resolving complex data quality issues while ensuring high data availability and SLA adherence.

Skilled in data modelling concepts including SCD Type 2, star schema, and snowflake schema, along with large-scale enterprise data migrations and governance practices. Proven ability to optimize and automate repetitive operational workflows, improve data processing performance, support deployment and release management activities, conduct disaster recovery drills for SQL databases, and maintain operational documentation and support runbooks. Adept at handling change requests, enhancing existing data solutions, and collaborating cross-functionally with business, QA, engineering, and support teams to deliver scalable and reliable data solutions.

Strong experience in Data Operations support, monitoring business-critical pipelines, troubleshooting production issues, and delivering actionable insights through SQL and Power BI dashboards to enable data-driven decision-making.

Sr. Data Engineer at Cognizant (2023-03 – Present)

Client: Hammerson (Real Estate and Asset management)

• Spearheaded end-to-end data analysis during the enterprise migration from Horizon to Yardi, ensuring 100% correctness and completeness of migrated datasets across critical business domains.
• Drove cross-functional collaboration across engineering, business, and QA teams to deliver seamless data integration and on-schedule project execution.
• Architected and optimized batch and incremental data load pipelines using Azure Data Factory and Azure Databricks, significantly improving data availability and processing efficiency.
• Partnered with business stakeholders to translate complex reporting requirements into robust SQL scripts and interactive Power BI dashboards, enabling data-driven decision-making across the organization.
• Led and mentored the data operations team, overseeing pipeline monitoring, incident resolution, and continuous process improvement initiatives.
• Designed and implemented end-to-end automation of recurring business workflows, eliminating manual effort and reducing operational errors for both technical and functional teams.
• Handled CAB (Change Advisory Board) requests, production change implementations, emergency fixes, and change validation activities by adhering to organizational change management processes and approval workflows.
• Participated in Disaster Recovery (DR) drills and SQL database recovery validation exercises to ensure business continuity, backup integrity, and compliance with recovery objectives.
• Maintained and updated operational runbooks, SOPs, technical documentation, support manuals, and knowledge base articles to streamline support processes and improve team readiness.

ETL Engineer at Aviso (2021-12 – 2023-03)

Product based (CRM)

• Engineered complex SQL queries powering Conversational Intelligence reports, delivering actionable CRM insights to business stakeholders.
• Owned and executed the full lifecycle integration of the Macheye third-party self-service tool into the Aviso platform, coordinating across product, engineering, and QA from requirement gathering through go-live.
• Optimized Salesforce data extraction workflows incorporating delete detection and data preparation logic, ensuring data accuracy and consistency across the platform.
• Automated table creation and bulk data loading processes using REST APIs and Jenkins scheduler, dramatically reducing manual intervention and accelerating delivery cycles.
• Managed pipeline configurations through structured JSON config files, enabling flexible, environment-specific deployments with minimal code changes.
• Monitored production pipelines, APIs, and platform health using Datadog dashboards, alerts, and log analysis to proactively identify failures, performance bottlenecks, and data processing anomalies.

Systems Engineer at Infosys Limited (2019-11 – 2021-12)

Client: BP (Oil & Gas)

• Authored and maintained production-grade SQL transformation scripts within Azure Data Factory pipelines, supporting critical downstream data warehouse processes.
• Automated and orchestrated SSIS packages and ADF pipelines using Stonebranch Universal Automation Center, improving scheduling reliability and reducing manual touchpoints.
• Engaged directly with business users and data warehouse teams to capture new requirements, translating them into scalable technical solutions within an existing DWH framework.
• Monitored and managed business-critical daily data operations, proactively identifying anomalies and ensuring SLA adherence for high-priority pipelines.

B.Tech in Information Technology – Anurag Group of Institutions (2019)