Pakalapati Dharani

As an AWS Data Engineer with nearly seven years of experience, I am driven by a strong sense of accountability and a determined pursuit of mastery in my field. I thrive on autonomous problem-solving, applying a logical and pragmatic approach to design and implement robust data solutions.

Experience

S

AWS Data Engineer

Signovate Technologies · Sep 2022 – Sep 2025

Not yet confirmed

• Engineered and maintained data pipelines for AVIVA Insurance UK's data platform, managing end-to-end ETL, data integration, and data warehouse processes across a 15-person team using Glue, S3, and Athena.
• Developed and maintained end-to-end ETL pipelines using Amazon S3, AWS Glue, PySpark, and SQL for daily data ingestion, validation, transformation, and aggregation.
• Managed metadata using Glue Crawlers and the Glue Data Catalog, and performed data analysis using Athena.
• Orchestrated workflows using Step Functions and Lambda, with SNS alerts and CloudWatch monitoring for job failures.
• Provided production support and troubleshooting for daily ETL jobs.

C

Software Engineer

Concentrix Technologies · Apr 2021 – Aug 2022

Not yet confirmed

• Built and maintained ETL workflows using Spark SQL, AWS Glue, and AWS Step Functions to process daily customer and transaction data in a cloud-based banking environment.
• Developed serverless Glue jobs for data extraction, validation, cleansing, transformation, aggregation, and reconciliation, reducing reliance on manual SQL processing.
• Orchestrated multi-step data workflows with Step Functions to identify duplicate accounts, high-value transactions, anomalies, unusual patterns, and potential fraud.
• Prepared reports and analytical insights from Spark SQL outputs to support fraud investigations, data quality, and business decision-making.

K

AML/KYC Analyst

Kapital Information Technologies · Apr 2019 – Mar 2021

Not yet confirmed

• Monitored and analysed financial transactions to identify potential money laundering, fraud, unusual patterns, anomalies, and risk indicators.
• Reviewed and validated large volumes of transactional data, performed data quality checks, and investigated discrepancies using predefined rules and patterns.
• Prepared SARs, investigation reports, and detailed analysis notes documenting findings, risk indicators, and recommended actions.

Fraud Analyst

Wipro Limited · Nov 2018 – Mar 2019

Not yet confirmed

• Worked as a Fraud Analyst for Google Play Store, investigating payment fraud, friendly fraud, true name fraud, and account takeover cases using Back Office and Customer Investigation Tool (CIT).
• Identified fraudulent activities by analysing transaction patterns, account behaviour, and fraud red flags.
• Took appropriate action on suspicious accounts based on fraud type and investigation findings.

What drives their work

The Builder

They translate complex data requirements into robust, automated systems.

Pakalapati's superpower

You excel at constructing resilient data pipelines and systems that reliably process and transform data.

How Pakalapati works

You would excel in a team focused on developing and optimizing data infrastructure and processing capabilities.