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Hello! I’m Anjali Singh, a Senior Data & BI Engineer based in Munich with over six years of experience building scalable data pipelines, data architectures, and ML workflows across SaaS and telecom environments. I enjoy turning messy data into reliable, decision-driving insights and collaborating with data science and product teams to ship results that matter. I’m passionate about data quality, pipeline reliability, and cross-functional collaboration to continuously improve products and processes. I’ve delivered AI-powered analytics platforms, automated data ingestion, NLP pipelines, and dashboards that reduce false positives and improve customer insights. I thrive in fast-paced settings where collaboration and curiosity drive impact.…Hello! I’m Anjali Singh, a Senior Data & BI Engineer based in Munich with over six years of experience building scalable data pipelines, data architectures, and ML workflows across SaaS and telecom environments. I enjoy turning messy data into reliable, decision-driving insights and collaborating with data science and product teams to ship results that matter. I’m passionate about data quality, pipeline reliability, and cross-functional collaboration to continuously improve products and processes. I’ve delivered AI-powered analytics platforms, automated data ingestion, NLP pipelines, and dashboards that reduce false positives and improve customer insights. I thrive in fast-paced settings where collaboration and curiosity drive impact.

Anjali Singh

Data Scientist, AI Engineer, Full Stack Developer, +1

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Hello! I’m Anjali Singh, a Senior Data & BI Engineer based in Munich with over six years of experience building scalable data pipelines, data architectures, and ML workflows across SaaS and telecom environments. I enjoy turning messy data into reliable, decision-driving insights and collaborating with data science and product teams to ship results that matter. I’m passionate about data quality, pipeline reliability, and cross-functional collaboration to continuously improve products and processes. I’ve delivered AI-powered analytics platforms, automated data ingestion, NLP pipelines, and dashboards that reduce false positives and improve customer insights. I thrive in fast-paced settings where collaboration and curiosity drive impact.…Hello! I’m Anjali Singh, a Senior Data & BI Engineer based in Munich with over six years of experience building scalable data pipelines, data architectures, and ML workflows across SaaS and telecom environments. I enjoy turning messy data into reliable, decision-driving insights and collaborating with data science and product teams to ship results that matter. I’m passionate about data quality, pipeline reliability, and cross-functional collaboration to continuously improve products and processes. I’ve delivered AI-powered analytics platforms, automated data ingestion, NLP pipelines, and dashboards that reduce false positives and improve customer insights. I thrive in fast-paced settings where collaboration and curiosity drive impact.

Available to hire

Hello! I’m Anjali Singh, a Senior Data & BI Engineer based in Munich with over six years of experience building scalable data pipelines, data architectures, and ML workflows across SaaS and telecom environments. I enjoy turning messy data into reliable, decision-driving insights and collaborating with data science and product teams to ship results that matter. I’m passionate about data quality, pipeline reliability, and cross-functional collaboration to continuously improve products and processes.

I’ve delivered AI-powered analytics platforms, automated data ingestion, NLP pipelines, and dashboards that reduce false positives and improve customer insights. I thrive in fast-paced settings where collaboration and curiosity drive impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

German

Beginner

Work Experience

Senior Data & BI Engineer at moveX MGmbH

November 1, 2024 - May 1, 2025

Built an AI-driven analytics platform using GPT-4 to process over 50,000 monthly customer interactions, surfacing insights for product and leadership teams. Developed an automated pipeline to convert unstructured customer feedback into structured product insights, implementing data quality checks and validation frameworks throughout the pipeline. Designed and deployed Qlik Sense dashboards for C-suite reporting on churn, retention, and customer behavior, reducing false positives by 20% and contributing to a 12% increase in customer lifetime value.

Data Engineer at Finneon Technologies AG

February 1, 2023 - October 1, 2024

Built scalable ETL pipelines in Python and Apache Spark processing over 1.2 million records per month from databases, REST APIs, and third-party platforms with 99% pipeline uptime. Automated data ingestion and transformation workflows with KNIME and workflow schedulers, reducing manual processing time by 40+ hours per month and improving data freshness across systems. Built NLP pipelines using NER and Topic Modelling on 500k+ Q&A texts for automated content tagging and market analysis, delivering structured outputs for downstream analytics. Performed MQL analysis using Spark on Parquet and CSV data, improving query speed by 50% and accelerating delivery of actionable sales insights. Built and optimized data models and pipelines for Tableau dashboards serving 200+ daily users, ensuring data accuracy and governance across reporting layers. Delivered internal training for 50+ colleagues on SQL, ETL workflows, and BI tools, improving data literacy across cross-functional teams.

Software Engineer at Amdocs

March 1, 2018 - May 1, 2022

Built a Python-based Apache Airflow system processing 10M+ entries from databases, AWS, SharePoint, and email sources, reducing processing time from one week to 15 minutes through pipeline optimization. Worked on data migration and reconciliation across OMS, CRM, billing, and ERP systems using Talend, Kafka, and Airflow, ensuring data consistency and integrity across all platforms. Developed a microservices-based web application for 110+ AT&T apps using Angular and Spring Boot, with integrated APIs and embedded analytics capabilities. Built ETL transformation rules using complex SQL and created Power BI dashboards and scorecards to track SLA/KPI performance for key stakeholders.