Skip to content
View Nithinkonjeti-1930's full-sized avatar

Block or report Nithinkonjeti-1930

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Nithinkonjeti-1930/README.md

Nithin Konjeti

Data Engineer | Analytics Engineering | Cloud Data Platforms

Data Engineer with 4+ years of experience across data pipelines, warehouse modeling, data quality, streaming, and analytics-ready delivery in healthcare and financial-services environments.

Portfolio · LinkedIn · Repositories

Core stack

Python · SQL · PySpark · Apache Spark · Kafka · Airflow · dbt · Snowflake · BigQuery · Redshift · PostgreSQL · AWS · Azure · GCP · Docker · GitHub Actions

Featured data engineering projects

Healthcare Claim Denial Prevention & Root-Cause Intelligence Platform

Operational healthcare data product that predicts pre-submission denial risk, explains preventable root causes, and prioritizes claims by financial exposure using Python, SQL, scikit-learn, FastAPI, dbt-style models, Airflow/Kafka patterns, and CI/CD.

AWS Real-Time Banking Transaction Risk & Fraud Analytics Lakehouse

AWS data engineering project using Kinesis, S3, Glue/PySpark, Lambda, Glue Data Catalog, Lake Formation, Athena, Redshift, explainable risk scoring, reconciliation, and CI/CD.

Customer 360 Real-Time Analytics & Predictive Intelligence Platform — GCP

Pub/Sub/BigQuery-oriented Customer 360 architecture with a verified local event pipeline, data-quality controls, SQL analytics, optional Dataflow/Airflow adapters, and Power BI/Flask presentation paths.

Real-Time Loan Analytics Platform

Kafka/MySQL-oriented streaming architecture with a verified local pipeline, idempotent transaction handling, loan KPIs, optional Streamlit dashboard, and explicit at-least-once + idempotency reliability semantics.

Healthcare Data Quality & Lineage Control Framework

Synthetic claims pipeline demonstrating source-to-target reconciliation, dbt tests, DuckDB local validation, lineage documentation, and CI release controls.

Enterprise Streaming & Canonical Data Integration Framework

Configuration-driven canonicalization across HR, finance, and operations source shapes, with a verified local batch path and optional REST/Kafka/Airflow adapters.

Banking Warehouse Performance & Reconciliation Automation

Synthetic banking warehouse project covering control-total reconciliation, reusable reporting datasets, executable SQLite validation, and cross-platform warehouse optimization patterns.

Engineering practices demonstrated

  • automated tests and smoke checks on every featured repository;
  • generated caches, logs, local databases, .env files, and cloud credentials excluded from Git;
  • synthetic data only in public portfolio repositories;
  • explicit separation between locally verified code and adapters that require external cloud/streaming infrastructure;
  • idempotency and reconciliation controls rather than unsupported exactly-once claims.

Certifications

  • Google Cloud Professional Data Engineer
  • AWS Certified Solutions Architect – Associate
  • IBM Data Engineering Professional Certificate
  • IBM Data Warehouse Engineer Professional Certificate

Education

MBA in Business Analytics — University of Massachusetts Dartmouth

Pinned Loading

  1. Banking-Warehouse-Performance-Reconciliation-Automation Banking-Warehouse-Performance-Reconciliation-Automation Public

    Synthetic banking warehouse project for SQL optimization, reusable reporting models and automated source-to-target reconciliation.

    Python

  2. Customer-360-Real-Time-Analytics-Predictive-Intelligence-Platform-GCP Customer-360-Real-Time-Analytics-Predictive-Intelligence-Platform-GCP Public

    GCP-oriented Customer 360 data platform with a verified local pipeline, Pub/Sub/BigQuery adapters, data quality, analytics and BI paths.

    Python

  3. Enterprise-Streaming-Canonical-Data-Integration-Framework Enterprise-Streaming-Canonical-Data-Integration-Framework Public

    Configuration-driven canonical integration framework with a verified batch path and optional REST, Kafka and Airflow adapters.

    Python

  4. Healthcare-Data-Quality-Lineage-Control-Framework Healthcare-Data-Quality-Lineage-Control-Framework Public

    Synthetic healthcare analytics-engineering project for dbt tests, DuckDB validation, reconciliation, lineage and CI controls.

    Python

  5. Azure-Healthcare-Claims-Lakehouse-Streaming-Platform Azure-Healthcare-Claims-Lakehouse-Streaming-Platform Public

    Azure healthcare claims lakehouse: ADF, ADLS Gen2, Event Hubs, Databricks/PySpark, Delta Lake, data quality, reconciliation and CI/CD.

    Python

  6. AWS-Real-Time-Banking-Risk-Fraud-Analytics-Lakehouse AWS-Real-Time-Banking-Risk-Fraud-Analytics-Lakehouse Public

    AWS banking transaction risk analytics lakehouse using Kinesis, S3, Glue/PySpark, Lambda, Athena, Redshift, Lake Formation, data quality and CI/CD.

    Python