LCI - Lawinger Consulting, Inc.

Backend Engineer

• Design and maintain various databases, including stored procedures, indexing, and data models.
• Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.
• Execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems.
• Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs.
• Build data ingestion and transformation workflows across raw, staging, curated, and analytics layers.
• Build and maintain various reporting solutions using SSRS and PowerBI.
• Design and implement logical and physical data models (ERDs) for various applications.
• Develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems.
• Provide production support, including troubleshooting performance issues and on-call support when needed.
• Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles.
• Provide knowledge transfer.

Database Developer

Solutions Engineer

• Design IAM solutions for Salesforce and SAP S/4HANA.
• Architect and implement SSO, MFA, and federation using SAML, OAuth, and OpenID Connect.
• Develop and maintain RBAC models and identity lifecycle processes.
• Integrate enterprise Identity Providers (e.g., Entra ID, Okta, Ping) with business applications.
• Partner with security, application, and business teams to ensure compliance with access and governance standards.
• Provide technical guidance, documentation, and support for IAM initiatives.

Senior Solutions Architect – Identity, Salesforce, SAP S/4HANA

Project Manager

• Experience in IT project management roles
• Experience in IT application support roles
• Experience supporting applications in Microsoft Azure and/or administering environments in Microsoft Azure
• Experience in data storage optimization
• Experience in database analysis
• Experience in Azure modernization support
• Azure administrator certification
• Experience supporting and troubleshooting Microsoft SQL databases
• Experience with ShareFile
• Experience with Tableau
• Experience with Drupal
• Experience with Acquia
• Experience with OnContact
• Experience delivering solutions on Microsoft Azure
• Experience implementing Azure networking, computing, and security best practices
• Experience implementing Azure Data Lake Storage (ADLS Gen2) and Delta Lake
• Experience managing Azure SQL, storage accounts, Data Lake, and Azure migration tooling
• Experience using Azure Key Vault, Azure Monitor, and Log Analytics in enterprise environments
• Experience implementing and supporting Azure Databricks (clusters, workflows, notebooks, jobs)
• Experience delivering Databricks-based data engineering solutions at enterprise scale
• Experience implementing PySpark and Spark SQL pipelines
• Experience in large-scale data architecture and data storage analysis
• Experience delivering document‑extraction solutions using Azure Document Intelligence
• Experience building and/or integrating PDF ingestion pipelines using PyPDF2, pdfplumber, PDF.js, or equivalent tools
• Experience implementing OCR processing of scanned PDFs
• Experience in large‑scale PDF text pre‑processing, chunking, and transformation for LLM retrieval
• Experience converting unstructured document content into embeddings for downstream LLM use
• Experience deploying vector search solutions using Azure AI Search
• Experience implementing and managing vector databases such as Pinecone, Weaviate, or Chroma
• Experience designing, building, and maintaining enterprise chatbots that use PDF documents as primary content sources
• Experience deploying chatbots using LLMs (Azure OpenAI, OpenAI, Hugging Face, or similar platforms)
• Experience implementing Retrieval‑Augmented Generation (RAG)
• Experience designing conversational flows and performing prompt optimization at scale
• Experience developing APIs or back‑end integrations connecting LLMs with vector stores and document repositories
• Experience using frameworks such as LangChain, Semantic Kernel, or equivalent enterprise tooling
• Experience monitoring, validating, and optimizing chatbot response quality
• Experience supporting Microsoft SQL Server
• Experience supporting enterprise platforms such as ShareFile, Tableau, Drupal, Acquia, and OnContact
• Experience leading requirements gathering across technical and non-technical stakeholder groups
• Experience working within complex, multi‑division organizations with diverse levels of data maturity
• Experience delivering technical documentation and/or providing technical communication

Database Developer

Senior Solutions Architect – Identity, Salesforce, SAP S/4HANA

IT Project Manager, Application Support, Data