Ananya Nayak

Data Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Key Highlights

5 years of experience in data engineering on Azure.
Expert in building scalable ETL/ELT pipelines.
Certified in Fabric and Databricks.

Stackforce AI infers this person is a Data Engineering expert in the Fintech and SaaS sectors.

Contact

ananya.nayak59482@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringCloud & Tools

Other Skills

PySparkSpark SQLAzure SynapseMicrosoft FabricDatabricksPythonAzure DatabricksAzure DevOpsAzure Data FactoryAzure SQL DatabaseSQLDevOpsGitJiraMicrosoft Power BI

About

Results-oriented Data Engineer with 5 years of experience in designing and implementing robust data solutions on Microsoft Azure. Proven ability to build scalable ETL/ELT pipelines, manage diverse data formats (JSON, CSV, Parquet), and optimize workflows for enterprise-scale analytics. Skilled in leveraging tools like Azure Data Factory, Azure Databricks, Delta Lake, and Spark to build modern Lakehouse architectures that enable actionable insights and data-driven decision-making. Comfortable working across the entire data lifecycle—from ingestion and transformation to CI/CD deployments and data product delivery. Currently focused on enabling businesses to modernize their analytics stack using Microsoft Fabric, Azure DevOps, and SQL-based platforms. Strong hands-on expertise in PySpark, Python, Azure SQL DB, and MS SQL Server, with a passion for writing clean, maintainable code and delivering reliable data solutions in the cloud. Core Skills: Data Engineering: ETL/ELT, Data Lakehouse Programming: Python, PySpark, SQL Cloud & Tools: Azure Data Factory, Azure Databricks, Microsoft Fabric, Azure DevOps Frameworks: Spark Databases: MS SQL Server, Azure SQL Database Data Formats: JSON, Parquet, CSV

Experience

4 yrs 7 mos

Total Experience

1 yr 5 mos

Average Tenure

3 mos

Current Experience

Fractal

Senior Data Engineer (Databricks / Power BI)

Feb 2026 – Present · 3 mos · Bengaluru · On-site

Onix

2 roles

Module Lead

Jul 2025 – Feb 2026 · 7 mos · Pune

Senior Data Engineer | Azure Data Stack

Jan 2024 – Jun 2025 · 1 yr 5 mos · Pune

✔️Currently designing a migration POC from Google Cloud to Azure Synapse for an Insurance major.
✔️Utlizing Pyspark and Spark SQL to convert Dataform scripts to Azure Synapse compatible.
✔️Participating in stakeholder discussions for any open questions or technical clarifications.
✔️Assisting and mentoring junior team members as and when required.
✔️Demonstrated the overall code translation process from Teradata to Microsoft Fabric for one of the client to senior leadership within the firm.
✔️Developed Python script to migrate Hive SQL scripts to equivalent spark notebooks.
✔️Assisted product engineering team to convert Synapse SQL scripts to equivalent Fabric Spark.
✔️Converted SAS scripts to Databricks equivalent.
✔️Documented Databricks offering for migrating legacy systems to Datatbricks Unity Catalog.
✔️Designed a package offering to migrate from Snowflake to Databricks.
✔️Designed a Python functionality to unzip raw data files directly in ADLS and used them for further processing in databricks.
✔️Implemented a logging mechanism from Azure Databricks to Azure SQL Db for the delta tables via JDBC connectivity. Idea was to compare the time taken to log in Azure SQL DB vs logging in Azure Databricks itself (managed table). Azure SQL DB had a significantly lesser logging time vs Databricks.

PySparkSpark SQLAzure SynapseMicrosoft FabricDatabricksData Engineering+1

Deloitte

Consultant | (Cloud Engineering)

Jun 2022 – Dec 2023 · 1 yr 6 mos · Remote

✔️ Proactively resolved critical incidents reported from Azure Web Apps.
✔️ Formulated complex data transformation logic in Azure Databricks using Spark SQL and Pyspark.
✔️ Led the BAU team and assisted junior team members to resolve production level issues.
✔️Collaborated with Power BI developers and Web Application teams for troubleshooting issues.
✔️Designed data models in AAS. (Azure Analysis Services)
✔️Implemented snapshot data changes in ADF and Azure Databricks for one of the FMCG major.
✔️Resolved data discrepancy issues as reported by front end application in Azure Databricks.
✔️Participated in stakeholder discussions often related to sprint planning and deliverables timelines.

Azure DatabricksAzure DevOpsData EngineeringCloud & Tools

Datametica solutions private limited

Engineer II | Cloud & Analytics

Aug 2021 – Jun 2022 · 10 mos · Remote

✔️ Have worked on Azure Cloud. Primarily for ingesting batch data via Azure Data Factory.
✔️ Worked on SQL stored procedures.
✔️ Have utilized Azure SQL Database for fetching data to run Ad Hoc queries in SQL in Microsoft SQL Server.
✔️ Azure Data Lake Storage Gen 2 is the primary storage service which I have used to assemble data from the source systems.
✔️ Documented the end to end ETL for the project.
✔️ Was involved in adhoc issues reported by the client.

Azure Data FactoryAzure SQL DatabaseSQLData EngineeringCloud & Tools