GOPALA KRISHNA MANDAPANENI
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 6+ years in Azure Data Factory & Databricks
A proficient Data Engineer with 6 years of experience designing and optimizing large-scale data ingestion and processing pipelines. Strong expertise in Azure Data Factory, Databricks, Synapse, Logic Apps, Spark and SQL with proven ability to handle 100+ GB datasets Across multiple geographies. Skilled at optimizing complex ETL workflows, ensuring on-time data delivery for downstream systems. Extremely passionate about solving challenging data engineering problems at scale.
RVR&JC College of engineering
Bachelor Of Technology
August 1, 2015 – June 30, 2019
Sri Chaitanya junior College
Intermediate
June 1, 2013 – May 31, 2015
Success Public School
SSC
June 1, 2012 – May 31, 2013
Accenture
Data Eng,Mgmt and Governance Sr Analyst
July 1, 2024 – Present
Hyderābād, Telangana, India
ADM
Data Eng,Mgmt and Governance Analyst
May 1, 2021 – November 1, 2023
India
Citibank
Packaged App Development Associate
May 1, 2020 – April 1, 2021
India
Kaiser Permanente- NCAP Migration
July 1, 2024 – June 1, 2026
Worked on the NCAP Module Migration from ADF to Databricks for a Kaiser Permanente Health care. Migrated over 500+ pipelines from ADF to Databricks. Analyze existing ADF pipelines, SQL scripts, and stored procedures to design efficient, scalable, and cost-effective migration strategies to Azure Databricks. Replacing ADF orchestrations with Databricks Workflows for scheduling, dependency management, and monitoring. Implemented Unity Catalog for data governance, managing permissions and security best practices. Rewrite ADF Mapping Data Flows and linked services into PySpark/Spark SQL notebooks. Implement duties. Widgets in notebooks to handle dynamic inputs (file paths, dates) previously managed by ADF parameters. Lineage and auditability move from external monitoring in ADF to native, table- and column-level lineage within Databricks Unity catalog.
CSL Dashboard Migration
January 1, 2024 – July 1, 2024
Worked for migrating the Qlik sense to PBI Dashboards for CSL Limited Biotechnology Build transformation flows using Data flows Gen2. Migrated over 50 reports from Qlik to Microsoft Fabric and Power BI, driving enterprise reporting modernization. Built ETL pipelines and data flows to ingest data from SAP HANA, AWS tables, and flat files into Fabric staging. Modeled data within Fabric, creating semantic models and calculations for Power BI reporting. Engaged with clients and collaborated with the Power BI team to gather requirements, set priorities, and resolve data issues. Build semantic models inside Fabric for optimized analytical workflows.
One ADM Analytics Project
May 1, 2021 – November 1, 2023
The project converts natural materials into sustainable products and food ingredients. We manage E2E data flow from source to target, ensuring top dashboard performance. Designs, builds, and maintains cloud data pipelines (ETL/ELT) across Azure services: Data Lake, Synapse, SQL Database. Utilizes activities: Data movement, Transformation, Control flow. Developed linked service, data flows, triggers for pipeline automation in ADF. Improved pipeline reliability by 20% closely monitoring and troubleshooting pipeline failures. Importing the tables for Source system with help of SAP Business client to process the data and make it available for down stream. Experience in building the Orchestration on Azure data factory for scheduling purpose. Managed large datasets, populating multiple facts and dimension tables for processing and transformations.
Citibank ETL Project
May 1, 2020 – April 1, 2021
This project aimed at building a Web Banking application for Taiwan Region Market. New Banking Functions and Migration from Native to Hybrid Actively created CDC and Full load jobs and processes for real-time data replication across heterogeneous systems, databases and data lakes. Analysis the log files for the failure jobs and keeping the logs in verbose mode. Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
DP-203
Databricks Certified Data Engineer Associate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked across diverse projects in healthcare, biotechnology, and finance, indicating adaptability to different industry domains. The roles held at Accenture, ADM, and Citibank show a consistent career progression in data engineering and governance. The breadth of technologies used (Azure stack, Databricks, Power BI, SAP HANA, Qlik Replicate, Talend) suggests a willingness to learn and apply various tools, contributing to a good cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates operational fit through experience in agile methodologies, code reviews, unit testing, SIT/UAT phases, and monitoring pipeline failures. Collaboration with clients and Power BI teams indicates good communication and teamwork skills. The project descriptions suggest a problem-solving attitude and ability to manage complex migrations.