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International Experience, IT Professional with 20+Years of experience in the IT industry with knack for simultaneously managing
resources and working as system/support/deployment engineer.
12+years of experience in Service Fulfillment, Order Management, Order Fulfillment, Workflow Management, Order Orchestration,
Inventory Management, Order Activation, Service Assurance, Network Performance Management, Alarm Management, Trouble ticket
Management, Problem Management, Fault Management, SLA Management, Security Management.
One of my career highlights including leveraging continuous improvement mindset to revamp our customer complaint process and
reduce resolution within SLA

Data Engineer with over 10 years of experience in designing, developing, and maintaining large-scale, cloud-native distributed systems. Proficient in building ETL/ELT pipelines with Python and PySpark, and orchestrating workflows with Apache Airflow. Experienced in scaling and optimizing large data transformations with Python, SQL, and Spark, and experienced in using Azure Synapse Spark Pools for fast, efficient big data processing. Skilled in building and integrating solutions across AWS and Azure environments, with hands-on expertise in AWS EC2, S3, RDS, and Azure-native services to deliver scalable, secure cloud architectures. Managed complex data warehousing solutions using Snowflake and Azure Synapse Analytics, focusing on schema design, performance tuning, and cost optimization. Proficient in creating interactive business intelligence reports and dashboards with Power BI. Extensive experience in data modeling and database design across relational and NoSQL systems, with strong expertise in writing complex, high-performance SQL queries. Proficient in building ETL workflows with SSIS and developing business intelligence reports with SSRS to deliver end-to-end data solutions. Experienced in Agile development and CI/CD automation, using tools like Azure DevOps and Git, and skilled in containerization and orchestration with Docker and Kubernetes. Focused on maintaining high standards of data quality, security, and governance by implementing best practices with Azure Policy, Azure Security Center, and serverless computing through Azure Functions.

 Data Engineer with 5+ years of experience in designing and developing enterprise-level, low-latency, fault-tolerant data platforms. Skilled in building distributed streaming data pipelines and analytics data stores using Spark, Flink, and Kafka. Proficient in Python, SQL, Scala, and clouds AWS, Azure), with a strong focus on CI/CD practices, security, and collaboration in agile environments. Experienced in supporting scalable cloud-based solutions and optimizing data processing for high-quality insights. Strong background in developing data pipelines, optimizing data storage & processing, and analyzing large-scale distributed systems. Applies SDLC methodologies & agile practices to deliver robust solutions for complex data engineering challenges. Adept at using visualization tools and experienced in cloud-based data architectures, ensuring efficient data management & analysis across diverse technological environments. 

18 years of experience primarily in Banking and Financial Services, with strong expertise in FR 2052a FED Regulatory Reporting (5G & 6G), Analytics, and Data Governance. Proven track record in the design, development, and implementation of Cloud Data Lake, Data Mesh, Data Warehouse, and Business Intelligence solutions. Possesses strong technical, analytical, and functional skills, with end-to-end ownership across SDLC and Agile methodologies, including requirements analysis, documentation, architecture design, development, testing, implementation, production support, incident management, root cause analysis, and real-time debugging. Designed and delivered cloud-native solutions with a strong focus on engineering excellence, automation, innovation, and cross-team collaboration. Continuously evaluated and adopted new technologies, tools, and working practices, demonstrating agility and a strong learning mindset. Brought a curious, questioning approach to solution design, contributing innovative ideas and improving architectural and operational outcomes. Triaged complex production issues, performed root cause analysis (RCA), and made decisive, data-driven decisions under high-pressure scenarios. Acted confidently in break-glass production incidents, restoring services and minimizing customer impact during critical outages. Designed and implemented scalable solutions using AWS services, including compute, storage, networking, containers, and serverless frameworks. Built and deployed applications using Infrastructure as Code (IaC) tools such as Cloud Formation, Terraform, Ansible, and ARM, ensuring repeatability and compliance. Applied object-oriented principles and design patterns to develop maintainable, extensible, and high-performing applications. Developed and deployed containerized applications, leveraging Docker and Kubernetes, with strong experience deploying workloads on Amazon EKS. Implemented CI/CD pipelines using Jenkins and Git-based workflows, enabling automated build, test, and deployment processes. Collaborated effectively with distributed teams and stakeholders, both in-person and virtually, building trusted and productive working relationships. Worked with enterprise database technologies including Oracle, PostgreSQL, and SQL Server to support transactional and analytical workloads. Defined and implemented cloud reliability, resiliency, and observability strategies, ensuring high availability and performance of Tier-3 critical systems. Established and enforced engineering standards and best practices, contributing to increased engineering maturity and operational stability. Deployed and managed LLM-based solutions, including Retrieval Augmented Generation (RAG) architectures in cloud environments. Built full-stack AI-powered applications, integrating LLMs with backend services and cloud infrastructure. Applied best practices in prompt engineering, data privacy, hallucination mitigation, bias awareness, token usage, and cost optimization. Demonstrated understanding of GenAI modalities, determinism vs. randomness, and agentic behavior in production systems. Developed AI workflows and services using object-oriented Python, ensuring scalability, reliability, and maintainability. Data engineering professional poised to add significant value through comprehensive experience in developing scalable data solutions. Noted for strong team collaboration and adaptability in fast-paced environments. Reliable in driving results with key skills in data modeling, ETL processes, and cloud-based data platforms. Experienced with building and maintaining data pipelines to ensure seamless data flow. Utilizes advanced knowledge of big data technologies to drive data-driven decision-making. Track record of enhancing data architecture for improved performance and reliability. Senior engineering professional with deep expertise in data architecture, pipeline development, and big data technologies. Proven track record in optimizing data workflows, enhancing system efficiency, and driving business intelligence initiatives. Strong collaborator, adaptable to evolving project demands, with focus on delivering impactful results through teamwork and innovation. Skilled in SQL, Python, Spark, and cloud platforms, with strategic approach to data management and problem-solving. Diligent [Desired Position] with robust background in data engineering and proven ability to design and implement complex data pipelines. Successfully contributed to optimizing data architecture and enhancing data processing efficiencies. Demonstrated expertise in big data technologies and proficiency in Python and SQL. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills. Detail-oriented [Job Title] designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages. Astute [Job Title] with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.

SMITA P. MOHITE

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Graduate Engineer Trainee / Junior Engineer

Associate / Team Member — Database Administrator (PostgreSQL)

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Bachelor of Engineering - Civil Engineering

Diploma - Civil Engineering

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Associate / Team Member — Database Administrator (PostgreSQL)

Diploma - Civil Engineering

Graduate Engineer Trainee / Junior Engineer

Bachelor of Engineering - Civil Engineering

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