NIRANJAN REDDY MEKA
Summary
Dynamic Azure Data Engineer with over 11 years of IT experience, including more than 4 years in Azure data engineering and 7 years in product ownership and business analysis within the banking and financial services sector. Proven success in designing, building, and optimizing scalable and secure Azure-based data platforms using tools such as Azure Data Factory, Databricks, and Data Lake Storage Gen2. Expertise in ETL/ELT development, large-scale data transformations, and implementing data governance strategies ensures high-quality analytics-ready datasets. Proactive team player with strong communication skills, adept at navigating the complexities of end-to-end project lifecycles while driving impactful results.
Overview
13
13
years of professional experience
Work History
Azure Data Engineer
JP Morgan Chase & Co
04.2022 - Current
- Led end-to-end requirements gathering, analysis, design, and development of Azure data platforms supporting AML regulatory reporting, and client analytics in a highly regulated banking environment.
- Designed and implemented secure, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest and process data from core banking systems, Oracle/SQL Server databases, REST APIs, and flat files into ADLS Gen2 and Azure SQL Data Warehouse.
- Developed and managed ADF components, including Linked Services, Datasets, Pipelines, Triggers, and control flow activities such as ForEach, Lookup, Metadata, Stored Procedure, and If Condition.
- Implemented incremental, delta, and historical data load strategies in ADF and Databricks to ensure data accuracy, auditability, and optimized performance for regulatory datasets.
- Scheduled, executed, and monitored ADF pipelines using event-based and time-based triggers, ensuring reliable and timely data processing.
- Built and optimized Azure Databricks notebooks using PySpark and Spark SQL for large-scale data transformation, aligned with Medallion (Bronze–Silver–Gold) architecture.
- Designed and maintained curated, analytics-ready datasets to support AML monitoring, compliance reporting, and downstream analytics teams.
- Applied data quality checks, reconciliation rules, and validation frameworks to meet regulatory and compliance standards.
- Implemented data governance and security controls using RBAC, Unity Catalog, and data masking to protect sensitive banking and customer data.
- Automated pipeline monitoring, alerting, and failure handling using Azure Monitor, Log Analytics, and Logic Apps, enabling proactive issue resolution.
- Tuned Databricks clusters and Spark jobs to improve performance and manage costs for high-volume banking data.
- Collaborated closely with Compliance, Risk, Product Owners, and Business Stakeholders to translate regulatory and business requirements into scalable technical solutions.
- Supported audit reviews, production releases, and regulatory submissions, ensuring adherence to internal controls and timelines.
- Collaborated with DevOps teams to enable CI/CD deployments using Azure DevOps, ensuring controlled and traceable releases across environments.
Business Analyst → Azure Data Engineer
UBS – Swiss Bank
07.2018 - 02.2022
- Led requirements gathering, analysis, and stakeholder coordination for AML, KYC, FCC, and client onboarding platforms.
- Authored BRD/FRD, created user stories, and supported Agile ceremonies, including sprint planning and backlog grooming.
- Acted as a bridge between business, compliance, and technology teams, ensuring regulatory alignment, and clear requirement traceability.
- Transitioned into a hands-on Azure Data Engineer role, converting business requirements into scalable data solutions.
- Designed and implemented ETL/ELT pipelines using Azure Data Factory to process AML and KYC data.
- Developed and optimized PySpark and Spark SQL jobs in Azure Databricks for data transformation and validation.
- Implemented incremental and delta data load strategies to improve pipeline performance and efficiency.
- Built data lake–centric architectures on Azure to support analytics and regulatory reporting.
- Supported data modeling, schema design, and data quality checks for compliance-critical datasets.
- Troubleshot ADF pipeline and Spark job issues in production environments.
- Actively participated in team meetings to share knowledge, exchange ideas, address challenges, and collaborate on potential solutions.
KYC / AML Analyst
JP Morgan Chase & Co
10.2016 - 07.2018
- Performed KYC reviews for corporate and individual clients in line with global regulatory requirements.
- Conducted sanctions, PEP, and adverse media screening using World-Check and LexisNexis.
- Handled Enhanced Due Diligence (EDD) and event-driven reviews.
- Acted as an SME, performed four-eye checks, and mentored junior analysts.
- Investigated fraud referrals and performed research to minimize risk and resolve inquiries.
- Enhanced team collaboration with regular communication, sharing best practices, and providing feedback on performance.
AML Analyst – Financial Crime Compliance
STANDARD CHARTERED BANK
07.2014 - 03.2016
- Investigated suspicious transactions, and prepared STR reports.
- Performed transaction monitoring and enhanced due diligence.
- Conducted quality reviews and compliance escalations.
- Collaborated with cross-functional teams to address complex issues arising from financial crimes investigations.
- Documented research findings to support risk-based decision-making and resolution to escalated fraud incidents.
- Strengthened AML compliance by conducting thorough risk assessments and monitoring transactions.
- Supported management in developing comprehensive AML policies and procedures to ensure regulatory compliance.
AML Officer – Financial Crime Compliance
ICICI BANK LTD
06.2013 - 07.2014
- Reviewed transactional activity for suspicious behavior.
- Performed EDD and adverse media screening.
- Supported regulatory compliance for Singapore operations.
Education
PGDBO - Banking And Finance
Institute of Finance Banking & Insurance (IFBI)
Hyderabad01.2013
B.Tech - Information Technology
JNTU Hyderabad
Hyderabad 04.2001 -
Skills
Azure Data Factory (ADF)
Azure Databricks (PySpark)
Azure Data Lake Storage Gen2
Azure Blob Storage
Delta Lake
ETL / ELT Pipelines
Medallion Architecture
Python
SQL
PL/SQL
Data Modeling
Slowly Changing Dimensions (SCD Type 1 & 2)
Data Quality & Validation
Domain Methodology
Strong Banking & Financial Services domain knowledge, Experience across end-to-end project lifecycle: Analysis, Design, Development, Testing, Deployment, and Support, Agile delivery experience working in Scrum environments
Timeline
Azure Data Engineer
JP Morgan Chase & Co
04.2022 - Current
Business Analyst → Azure Data Engineer
UBS – Swiss Bank
07.2018 - 02.2022
KYC / AML Analyst
JP Morgan Chase & Co
10.2016 - 07.2018
AML Analyst – Financial Crime Compliance
STANDARD CHARTERED BANK
07.2014 - 03.2016
AML Officer – Financial Crime Compliance
ICICI BANK LTD
06.2013 - 07.2014
B.Tech - Information Technology
JNTU Hyderabad
04.2001 -
PGDBO - Banking And Finance
Institute of Finance Banking & Insurance (IFBI)